This document summarizes 33 successful security practices identified in benchmarking studies of European telecommunications companies between 2010-2012. The practices are grouped under 6 themes: corporate security function, security management, commercial role of security, fraud management, security in development processes, and security monitoring/incident management. Some highlighted practices include establishing a strategic security board, using social media to enhance security awareness, monitoring social media for security discussions, setting measurable security targets, taking a risk-based approach to security management, and linking security compliance to customer demands.
Providing managed services to your customers is more than just a proven method to retaining your existing customer base. By providing managed services, you create a recurring revenue stream that allows you to proactively plan for the growth of your business. Higher margins and a better business valuation are two of the additional benefits of providing managed services to your customer base.
Not just for IT shops anymore, copier companies, Telco’s and VoIP companies are securing their place in their market by adding managed services to their business profile.
This session will highlight how VoIP companies all over the world have followed N-able’s systematic approach to cross and up sell existing customers and execute on a new clients acquisition strategy to increase services revenue.
Book about
Quantum Computing Blockchain Reversable Protection Privacy by Design, Applications and APIs Privacy, Risks, and Threats Machine Learning and Analytics Non-Reversable Protection International Unicode Secure Multi-party Computing Computing on Encrypted Data Internet of Things II. Data Confidentiality and Integrity Standards and Regulations IV. Applications VI. Summary Best Practices, Roadmap, and Vision Trends, Innovation, and Evolution Hybrid Cloud , CASB and SASE Appendix A B C D E I. Introduction and Vision Section Access Control Zero Trust Architecture Trusted Execution Environments III. Users and Authorization Governance, Guidance, and Frameworks V. Platforms Data User App Innovation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Chapter Discovery and Search Glossary
Jun 15 privacy in the cloud at financial institutions at the object managemen...Ulf Mattsson
This document discusses privacy and security considerations for financial institutions using cloud services. It begins with an introduction of the speaker, Ulf Mattsson, and his background working with standards bodies. The rest of the document discusses opportunities and challenges around analytics, machine learning, and complying with privacy laws in the cloud. It provides examples of how techniques like homomorphic encryption, differential privacy, and secure multi-party computation can be applied to use cases in areas like payments, risk assessment, and secondary data usage. The document concludes with a discussion of hybrid cloud environments and maintaining consistent security policies across on-premises and cloud platforms.
Practical risk management for the multi cloudUlf Mattsson
This session will take a practical approach to IT risk management and discuss multi cloud, Verizon Data Breach Investigations Report (DBIR) and how Enterprises are losing ground in the fight against persistent cyber-attacks. We simply cannot catch the bad guys until it is too late. This picture is not improving. Verizon reports concluded that less than 14% of breaches are detected by internal monitoring tools.
We will review the JP Morgan Chase data breach were hackers were in the bank’s network for months undetected. Network configuration errors are inevitable, even at the largest banks as Capital One that recently had a data breach where a hacker gained access to 100 million credit card applications and accounts.
Viewers will also learn about:
- Macro trends in Cloud security and Micro trends in Cloud security
- Risks from Quantum Computing and when we should move to alternate forms of encryption
- Review “Kill Chains” from Lockhead Martin in relation to APT and DDoS Attacks
- Risk Management methods from ISACA and other organizations
Speaker: Ulf Mattsson, Head of Innovation, TokenEx
Privacy preserving computing and secure multi-party computation ISACA AtlantaUlf Mattsson
A major challenge that many organizations faces, is how to address data privacy regulations such as CCPA, GDPR and other emerging regulations around the world, including data residency controls as well as enable data sharing in a secure and private fashion. We will present solutions that can reduce and remove the legal, risk and compliance processes normally associated with data sharing projects by allowing organizations to collaborate across divisions, with other organizations and across jurisdictions where data cannot be relocated or shared.
We will discuss secure multi-party computation where organizations want to securely share sensitive data without revealing their private inputs. We will review solutions that are driving faster time to insight by the use of different techniques for privacy-preserving computing including homomorphic encryption, k-anonymity and differential privacy. We will present best practices and how to control privacy and security throughout the data life cycle. We will also review industry standards, implementations, policy management and case studies for hybrid cloud and on-premises.
Future data security ‘will come from several sources’John Davis
The process of digitisation will become more all-encompassing, but will create new data security needs that can only be met by multiple suppliers, a report has said. - See more at: http://www.storetec.net/news-blog/future-data-security-will-come-from-several-sources
This document provides an overview of new technologies for data protection presented by Ulf Mattsson, Chief Security Strategist at Protegrity. It discusses several emerging technologies like homomorphic encryption, differential privacy, and secure multi-party computation that can be used to enable secure data sharing and analytics while preserving privacy. It also provides examples of how these technologies can be applied in domains like healthcare, financial services, and retail to derive insights from sensitive data in a privacy-preserving manner and in compliance with regulations.
Emerging application and data protection for multi cloudUlf Mattsson
Emerging Application and Data Protection for Multi-Cloud
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data - how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers. The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value. This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
Providing managed services to your customers is more than just a proven method to retaining your existing customer base. By providing managed services, you create a recurring revenue stream that allows you to proactively plan for the growth of your business. Higher margins and a better business valuation are two of the additional benefits of providing managed services to your customer base.
Not just for IT shops anymore, copier companies, Telco’s and VoIP companies are securing their place in their market by adding managed services to their business profile.
This session will highlight how VoIP companies all over the world have followed N-able’s systematic approach to cross and up sell existing customers and execute on a new clients acquisition strategy to increase services revenue.
Book about
Quantum Computing Blockchain Reversable Protection Privacy by Design, Applications and APIs Privacy, Risks, and Threats Machine Learning and Analytics Non-Reversable Protection International Unicode Secure Multi-party Computing Computing on Encrypted Data Internet of Things II. Data Confidentiality and Integrity Standards and Regulations IV. Applications VI. Summary Best Practices, Roadmap, and Vision Trends, Innovation, and Evolution Hybrid Cloud , CASB and SASE Appendix A B C D E I. Introduction and Vision Section Access Control Zero Trust Architecture Trusted Execution Environments III. Users and Authorization Governance, Guidance, and Frameworks V. Platforms Data User App Innovation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Chapter Discovery and Search Glossary
Jun 15 privacy in the cloud at financial institutions at the object managemen...Ulf Mattsson
This document discusses privacy and security considerations for financial institutions using cloud services. It begins with an introduction of the speaker, Ulf Mattsson, and his background working with standards bodies. The rest of the document discusses opportunities and challenges around analytics, machine learning, and complying with privacy laws in the cloud. It provides examples of how techniques like homomorphic encryption, differential privacy, and secure multi-party computation can be applied to use cases in areas like payments, risk assessment, and secondary data usage. The document concludes with a discussion of hybrid cloud environments and maintaining consistent security policies across on-premises and cloud platforms.
Practical risk management for the multi cloudUlf Mattsson
This session will take a practical approach to IT risk management and discuss multi cloud, Verizon Data Breach Investigations Report (DBIR) and how Enterprises are losing ground in the fight against persistent cyber-attacks. We simply cannot catch the bad guys until it is too late. This picture is not improving. Verizon reports concluded that less than 14% of breaches are detected by internal monitoring tools.
We will review the JP Morgan Chase data breach were hackers were in the bank’s network for months undetected. Network configuration errors are inevitable, even at the largest banks as Capital One that recently had a data breach where a hacker gained access to 100 million credit card applications and accounts.
Viewers will also learn about:
- Macro trends in Cloud security and Micro trends in Cloud security
- Risks from Quantum Computing and when we should move to alternate forms of encryption
- Review “Kill Chains” from Lockhead Martin in relation to APT and DDoS Attacks
- Risk Management methods from ISACA and other organizations
Speaker: Ulf Mattsson, Head of Innovation, TokenEx
Privacy preserving computing and secure multi-party computation ISACA AtlantaUlf Mattsson
A major challenge that many organizations faces, is how to address data privacy regulations such as CCPA, GDPR and other emerging regulations around the world, including data residency controls as well as enable data sharing in a secure and private fashion. We will present solutions that can reduce and remove the legal, risk and compliance processes normally associated with data sharing projects by allowing organizations to collaborate across divisions, with other organizations and across jurisdictions where data cannot be relocated or shared.
We will discuss secure multi-party computation where organizations want to securely share sensitive data without revealing their private inputs. We will review solutions that are driving faster time to insight by the use of different techniques for privacy-preserving computing including homomorphic encryption, k-anonymity and differential privacy. We will present best practices and how to control privacy and security throughout the data life cycle. We will also review industry standards, implementations, policy management and case studies for hybrid cloud and on-premises.
Future data security ‘will come from several sources’John Davis
The process of digitisation will become more all-encompassing, but will create new data security needs that can only be met by multiple suppliers, a report has said. - See more at: http://www.storetec.net/news-blog/future-data-security-will-come-from-several-sources
This document provides an overview of new technologies for data protection presented by Ulf Mattsson, Chief Security Strategist at Protegrity. It discusses several emerging technologies like homomorphic encryption, differential privacy, and secure multi-party computation that can be used to enable secure data sharing and analytics while preserving privacy. It also provides examples of how these technologies can be applied in domains like healthcare, financial services, and retail to derive insights from sensitive data in a privacy-preserving manner and in compliance with regulations.
Emerging application and data protection for multi cloudUlf Mattsson
Emerging Application and Data Protection for Multi-Cloud
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data - how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers. The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value. This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
Unlock the potential of data security 2020Ulf Mattsson
Explore challenges of managing and protecting data. We'll share best practices on establishing the right balance between privacy, security, and compliance
ISACA Houston - How to de-classify data and rethink transfer of data between ...Ulf Mattsson
The document discusses data privacy regulations and international standards for transferring personal data between the US and EU after key court rulings invalidated the EU-US Privacy Shield and placed additional requirements on standard contractual clauses. It provides an overview of Privacy Shield and Schrems II, recommendations for focusing on accessible data, identifying personal data, governance, ongoing protection and audits to protect data after Privacy Shield. It also discusses the impact of GDPR and differences between pseudonymization under GDPR versus prior definitions.
Privacy preserving computing and secure multi party computationUlf Mattsson
Ulf Mattsson is the Chief Security Strategist at Protegrity and has extensive experience in data encryption, tokenization, data privacy tools and security compliance. The document discusses several use cases for secure multi-party computation and homomorphic encryption including: sharing financial data between institutions while preserving privacy, using retail transaction data for secondary purposes like advertising while protecting privacy, and enabling internal data sharing within a bank for analytics while complying with regulations. It also provides overviews of important privacy-preserving computation techniques like homomorphic encryption, secure multi-party computation, differential privacy and the growth of the homomorphic encryption market.
An extensive research survey on data integrity and deduplication towards priv...IJECEIAES
Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.
ISSA Atlanta - Emerging application and data protection for multi cloudUlf Mattsson
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data — how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers.
The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value.
This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
• Learn New Application and Data Protection Strategies
• Learn Advancements in Machine Learning
• Learn how to develop a roadmap for EU GDPR compliance
• Learn Data-centric Security for Digital Business
• Learn Where Data Security and Value of Data Meet in the Cloud
• Learn Data Protection On-premises, and in Public and Private Clouds
• Learn about Emerging Application and Data Protection for Multi-cloud
• Learn about Emerging Data Privacy and Security for Cloud
• Learn about New Enterprise Application and Data Security Challenges
• Learn about Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation
A practical data privacy and security approach to ffiec, gdpr and ccpaUlf Mattsson
With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.
This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.
Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.
Safeguarding customer and financial data in analytics and machine learningUlf Mattsson
Digital Transformation and the opportunities to use data in Analytics and Machine Learning are growing exponentially, but so too are the business and financial risks in Data Privacy. The increasing number of privacy incidents and data breaches are destroying brands and customer trust, and we will discuss how business prioritization can be benefit from a finance-based data risk assessment (FinDRA).
More than 60 countries have introduced privacy laws and by 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations. We will discuss use cases in financial services that are finding a balance between new technology impact, regulatory compliance, and commercial business opportunity. Several privacy-preserving and privacy-enhanced techniques can provide practical security for data in use and data sharing, but none universally cover all use cases. We will discuss what tools can we use mitigate business risks caused by security threats, data residency and privacy issues. We will discuss how technologies like pseudonymization, anonymization, tokenization, encryption, masking and privacy preservation in analytics and business intelligence are used in Analytics and Machine Learning.
Organizations are increasingly concerned about data security in processing personal information in external environments, such as the cloud; and information sharing. Data is spreading across hybrid IT infrastructure on-premises and multi-cloud services and we will discuss how to enforce consistent and holistic data security and privacy policies. Increasing numbers of data security, privacy and identity access management products are in use, but they do not integrate, do not share common policies, and we will discuss use cases in financial services of different techniques to protect and manage data security and privacy.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
This document discusses a case study of a regional community bank that improved business process efficiency using a logical data warehouse from Denodo. The bank used Denodo to aggregate data from multiple cloud and on-premise sources, which it then used to power self-service reports, dashboards, and real-time operations. This improved reporting turnaround times from 2-3 days to 2 hours and allowed loan processing to be done in real-time. Denodo provided a centralized data platform that was flexible enough to easily incorporate new data sources from acquisitions.
The journey to Private AI, where Privacy-Preserving ML meets DLTOmid Mogharian
While the advances of AI and machine learning can benefit immensely people and societies, more and more concerns regarding privacy violations and data breaches are addressed. In this talk, first Privacy-Preserving Machine Learning including its aspects and potentials will be explored. Afterward, what Distributed Ledger Technologies (DLTs) can offer for a practical environment to enable private computation is discussed.
Isaca atlanta - practical data security and privacyUlf Mattsson
1. The document discusses various data security and privacy techniques such as tokenization, encryption, anonymization models, and standards. It provides examples of how these techniques can be applied on-premises and in cloud environments.
2. Major privacy regulations and standards discussed include the GDPR, CCPA, and ISO privacy standards. Key requirements around encryption, tokenization, and data mapping are examined.
3. Different data techniques are compared including differential privacy, homomorphic encryption, k-anonymity models, and their applications in analytics and machine learning.
Securing data today and in the future - Oracle NYCUlf Mattsson
NYOUG - New York Oracle Users Group:
- Risks Associated with Cloud Computing
- Data Tokens in a Cloud Environment
- Data Tokenization at the Gateway Layer
- Data Tokenization at the Database Layer
- Risk Management and PCI
Evolving regulations are changing the way we think about tools and technologyUlf Mattsson
Discover the latest in RegTech and stay up-to-date on compliance tools and best practices.
The move to digital has meant that many organizations have had to rethink legacy systems.
They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms.
They also need to understand the latest in RegTech and solutions for hybrid cloud.
We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA.
We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
What is a secure enterprise architecture roadmap?Ulf Mattsson
Webcast title : What is a Secure Enterprise Architecture Roadmap?
Description : This session will cover the following topics:
* What is a Secure Enterprise Architecture roadmap (SEA)?
* Are there different Roadmaps for different industries?
* How does compliance fit in with a SEA?
* Does blockchain, GDPR, Cloud, and IoT conflict with compliance regulations complicating your SEA?
* How will quantum computing impact SEA roadmap?
Presenters : Juanita Koilpillai, Bob Flores, Mark Rasch, Ulf Mattsson, David Morris
Duration : 68 min
Date & Time : Sep 20 2018 8:00 am
Timezone : United States - New York
Webcast URL : https://www.brighttalk.com/webinar/what-is-a-secure-enterprise-architecture-roadmap
Tokenization on Blockchain is a steady trend. It seems that everything is being tokenized on Blockchain from paintings, diamonds and company stocks to real estate. Thus, we took an asset, tokenized it and created its digital representation that lives on Blockchain. Blockchain guarantees that the ownership information is immutable.
Unfortunately, some problems need to be solved before we can successfully tokenize real-world assets on Blockchain. Main problem stems from the fact that so far, no country has a solid regulation for cryptocurrency. For example, what happens if a company that handles tokenization sells the property? They have no legal rights on the property and thus are not protected by the law. Another problem is that this system brings us back some sort of centralization. The whole idea of Blockchain and especially smart contracts is to create a trustless environment.
Tokenization is a method that converts a digital value into a digital token. Tokenization can be used as a method that converts rights to an asset into a digital token.
The tokenization system can be implemented local to the data that is tokenized or in a centralized model. We will discuss tokenization implementations that can provide scalability across hybrid cloud models. This session will position different data protection techniques, use cases for blockchain, and protecting blockchain.
Protecting Data Privacy in Analytics and Machine LearningUlf Mattsson
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to use open source tools to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about. In this session, we will discuss technologies that help protect people, preserve privacy, and enable you to do machine learning confidentially.
This session discusses industry standards and emerging privacy-enhanced computation techniques, secure multiparty computation, and trusted execution environments. We will discuss Zero Trust philosophy fundamentally changes the way we approach security since trust is a vulnerability that can be exploited particularly when working remotely and increasingly using cloud models. We will also discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
What I learned at the Infosecurity ISACA North America Conference 2019Ulf Mattsson
The 2019 Infosecurity ISACA North America Expo and Conference was held in New York City’s Javits Convention Center on November 20-21. With more than 50 sessions spanning 5 tracks, this conference offered the best-in-class educational content ISACA members and certification holders depend on, plus unprecedented access to leaders in the security industry.
Join Ulf Mattsson, Head of Innovation at TokenX for a conference recap webinar on the biggest takeaways
Bridging the gap between privacy and big data Ulf Mattsson - Protegrity Sep 10Ulf Mattsson
Big Data systems like Hadoop provide analysis of massive amounts of data to open up “Big Answers”, identifying trends and new business opportunities. The massive scalability and economical storage also provides the opportunity to monetize collected data by selling it to a third party.
However, the biggest issue with Big Data remains security. Like any other system, the data must be protected according to regulatory mandates, such as PCI, HIPAA and Privacy laws; from both external and internal threats – including privileged users.
So how can we bridge the gap between access to vast amounts of data, and security of more and more types of data, in this rapidly evolving new environment?
In this webinar, Ulf Mattsson explores the issues and provide solutions to bring together data insight and security in Big Data. With deep knowledge in advanced data security technologies, Ulf explains the best practices in order to safely unlock the power of Big Data.
New regulations and the evolving cybersecurity technology landscapeUlf Mattsson
As the cyber threat landscape continues to evolve, organizations worldwide are increasing their spend on cybersecurity technology. We have a transition from 3rd party security providers into native cloud security services. The challenge of securing enterprise data assets is increasing. What’s needed to control Cyber Risk and stay Compliant in this evolving landscape?
We will discuss evolving industry standards, how to keep track of your data assets, protect your sensitive data and maintain compliance to new regulations.
This document summarizes a leading IT solutions provider in Kosovo's use of NetFlow Analyzer to monitor their network. They have 500 employees across 2 branch offices with over 5,000 interfaces on their routers and switches. Previously, they struggled with connectivity issues, inability to measure bandwidth usage, and difficulty tracing security threats. Using NetFlow Analyzer since 2012 has helped them lower bandwidth costs by 25% by identifying unnecessary bandwidth usage, improve quality of service by resolving connectivity problems faster, and maintain network security by monitoring for anomalies. The provider credits NetFlow Analyzer with reducing monitoring time and assessing future network needs.
NYC Workshop: Improving the Business Value of your Service Management ProgramNavvia
David Mainville, CEO of Navvia lead this interactive workshop and discussed:
- What’s wrong with today's Service Management programs?
- Positioning and selling the value of your Service Management program in Business Terms
- Identifying opportunities for improvement by soliciting feedback directly from your users
- Getting everyone on the same page by designing, documenting and communicating what needs to be done
- Continually improving your value to the Business
For more great content please visit: http://navvia.com/resources/
Unlock the potential of data security 2020Ulf Mattsson
Explore challenges of managing and protecting data. We'll share best practices on establishing the right balance between privacy, security, and compliance
ISACA Houston - How to de-classify data and rethink transfer of data between ...Ulf Mattsson
The document discusses data privacy regulations and international standards for transferring personal data between the US and EU after key court rulings invalidated the EU-US Privacy Shield and placed additional requirements on standard contractual clauses. It provides an overview of Privacy Shield and Schrems II, recommendations for focusing on accessible data, identifying personal data, governance, ongoing protection and audits to protect data after Privacy Shield. It also discusses the impact of GDPR and differences between pseudonymization under GDPR versus prior definitions.
Privacy preserving computing and secure multi party computationUlf Mattsson
Ulf Mattsson is the Chief Security Strategist at Protegrity and has extensive experience in data encryption, tokenization, data privacy tools and security compliance. The document discusses several use cases for secure multi-party computation and homomorphic encryption including: sharing financial data between institutions while preserving privacy, using retail transaction data for secondary purposes like advertising while protecting privacy, and enabling internal data sharing within a bank for analytics while complying with regulations. It also provides overviews of important privacy-preserving computation techniques like homomorphic encryption, secure multi-party computation, differential privacy and the growth of the homomorphic encryption market.
An extensive research survey on data integrity and deduplication towards priv...IJECEIAES
Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.
ISSA Atlanta - Emerging application and data protection for multi cloudUlf Mattsson
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data — how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers.
The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value.
This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
• Learn New Application and Data Protection Strategies
• Learn Advancements in Machine Learning
• Learn how to develop a roadmap for EU GDPR compliance
• Learn Data-centric Security for Digital Business
• Learn Where Data Security and Value of Data Meet in the Cloud
• Learn Data Protection On-premises, and in Public and Private Clouds
• Learn about Emerging Application and Data Protection for Multi-cloud
• Learn about Emerging Data Privacy and Security for Cloud
• Learn about New Enterprise Application and Data Security Challenges
• Learn about Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation
A practical data privacy and security approach to ffiec, gdpr and ccpaUlf Mattsson
With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.
This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.
Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.
Safeguarding customer and financial data in analytics and machine learningUlf Mattsson
Digital Transformation and the opportunities to use data in Analytics and Machine Learning are growing exponentially, but so too are the business and financial risks in Data Privacy. The increasing number of privacy incidents and data breaches are destroying brands and customer trust, and we will discuss how business prioritization can be benefit from a finance-based data risk assessment (FinDRA).
More than 60 countries have introduced privacy laws and by 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations. We will discuss use cases in financial services that are finding a balance between new technology impact, regulatory compliance, and commercial business opportunity. Several privacy-preserving and privacy-enhanced techniques can provide practical security for data in use and data sharing, but none universally cover all use cases. We will discuss what tools can we use mitigate business risks caused by security threats, data residency and privacy issues. We will discuss how technologies like pseudonymization, anonymization, tokenization, encryption, masking and privacy preservation in analytics and business intelligence are used in Analytics and Machine Learning.
Organizations are increasingly concerned about data security in processing personal information in external environments, such as the cloud; and information sharing. Data is spreading across hybrid IT infrastructure on-premises and multi-cloud services and we will discuss how to enforce consistent and holistic data security and privacy policies. Increasing numbers of data security, privacy and identity access management products are in use, but they do not integrate, do not share common policies, and we will discuss use cases in financial services of different techniques to protect and manage data security and privacy.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
This document discusses a case study of a regional community bank that improved business process efficiency using a logical data warehouse from Denodo. The bank used Denodo to aggregate data from multiple cloud and on-premise sources, which it then used to power self-service reports, dashboards, and real-time operations. This improved reporting turnaround times from 2-3 days to 2 hours and allowed loan processing to be done in real-time. Denodo provided a centralized data platform that was flexible enough to easily incorporate new data sources from acquisitions.
The journey to Private AI, where Privacy-Preserving ML meets DLTOmid Mogharian
While the advances of AI and machine learning can benefit immensely people and societies, more and more concerns regarding privacy violations and data breaches are addressed. In this talk, first Privacy-Preserving Machine Learning including its aspects and potentials will be explored. Afterward, what Distributed Ledger Technologies (DLTs) can offer for a practical environment to enable private computation is discussed.
Isaca atlanta - practical data security and privacyUlf Mattsson
1. The document discusses various data security and privacy techniques such as tokenization, encryption, anonymization models, and standards. It provides examples of how these techniques can be applied on-premises and in cloud environments.
2. Major privacy regulations and standards discussed include the GDPR, CCPA, and ISO privacy standards. Key requirements around encryption, tokenization, and data mapping are examined.
3. Different data techniques are compared including differential privacy, homomorphic encryption, k-anonymity models, and their applications in analytics and machine learning.
Securing data today and in the future - Oracle NYCUlf Mattsson
NYOUG - New York Oracle Users Group:
- Risks Associated with Cloud Computing
- Data Tokens in a Cloud Environment
- Data Tokenization at the Gateway Layer
- Data Tokenization at the Database Layer
- Risk Management and PCI
Evolving regulations are changing the way we think about tools and technologyUlf Mattsson
Discover the latest in RegTech and stay up-to-date on compliance tools and best practices.
The move to digital has meant that many organizations have had to rethink legacy systems.
They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms.
They also need to understand the latest in RegTech and solutions for hybrid cloud.
We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA.
We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
What is a secure enterprise architecture roadmap?Ulf Mattsson
Webcast title : What is a Secure Enterprise Architecture Roadmap?
Description : This session will cover the following topics:
* What is a Secure Enterprise Architecture roadmap (SEA)?
* Are there different Roadmaps for different industries?
* How does compliance fit in with a SEA?
* Does blockchain, GDPR, Cloud, and IoT conflict with compliance regulations complicating your SEA?
* How will quantum computing impact SEA roadmap?
Presenters : Juanita Koilpillai, Bob Flores, Mark Rasch, Ulf Mattsson, David Morris
Duration : 68 min
Date & Time : Sep 20 2018 8:00 am
Timezone : United States - New York
Webcast URL : https://www.brighttalk.com/webinar/what-is-a-secure-enterprise-architecture-roadmap
Tokenization on Blockchain is a steady trend. It seems that everything is being tokenized on Blockchain from paintings, diamonds and company stocks to real estate. Thus, we took an asset, tokenized it and created its digital representation that lives on Blockchain. Blockchain guarantees that the ownership information is immutable.
Unfortunately, some problems need to be solved before we can successfully tokenize real-world assets on Blockchain. Main problem stems from the fact that so far, no country has a solid regulation for cryptocurrency. For example, what happens if a company that handles tokenization sells the property? They have no legal rights on the property and thus are not protected by the law. Another problem is that this system brings us back some sort of centralization. The whole idea of Blockchain and especially smart contracts is to create a trustless environment.
Tokenization is a method that converts a digital value into a digital token. Tokenization can be used as a method that converts rights to an asset into a digital token.
The tokenization system can be implemented local to the data that is tokenized or in a centralized model. We will discuss tokenization implementations that can provide scalability across hybrid cloud models. This session will position different data protection techniques, use cases for blockchain, and protecting blockchain.
Protecting Data Privacy in Analytics and Machine LearningUlf Mattsson
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to use open source tools to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about. In this session, we will discuss technologies that help protect people, preserve privacy, and enable you to do machine learning confidentially.
This session discusses industry standards and emerging privacy-enhanced computation techniques, secure multiparty computation, and trusted execution environments. We will discuss Zero Trust philosophy fundamentally changes the way we approach security since trust is a vulnerability that can be exploited particularly when working remotely and increasingly using cloud models. We will also discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
What I learned at the Infosecurity ISACA North America Conference 2019Ulf Mattsson
The 2019 Infosecurity ISACA North America Expo and Conference was held in New York City’s Javits Convention Center on November 20-21. With more than 50 sessions spanning 5 tracks, this conference offered the best-in-class educational content ISACA members and certification holders depend on, plus unprecedented access to leaders in the security industry.
Join Ulf Mattsson, Head of Innovation at TokenX for a conference recap webinar on the biggest takeaways
Bridging the gap between privacy and big data Ulf Mattsson - Protegrity Sep 10Ulf Mattsson
Big Data systems like Hadoop provide analysis of massive amounts of data to open up “Big Answers”, identifying trends and new business opportunities. The massive scalability and economical storage also provides the opportunity to monetize collected data by selling it to a third party.
However, the biggest issue with Big Data remains security. Like any other system, the data must be protected according to regulatory mandates, such as PCI, HIPAA and Privacy laws; from both external and internal threats – including privileged users.
So how can we bridge the gap between access to vast amounts of data, and security of more and more types of data, in this rapidly evolving new environment?
In this webinar, Ulf Mattsson explores the issues and provide solutions to bring together data insight and security in Big Data. With deep knowledge in advanced data security technologies, Ulf explains the best practices in order to safely unlock the power of Big Data.
New regulations and the evolving cybersecurity technology landscapeUlf Mattsson
As the cyber threat landscape continues to evolve, organizations worldwide are increasing their spend on cybersecurity technology. We have a transition from 3rd party security providers into native cloud security services. The challenge of securing enterprise data assets is increasing. What’s needed to control Cyber Risk and stay Compliant in this evolving landscape?
We will discuss evolving industry standards, how to keep track of your data assets, protect your sensitive data and maintain compliance to new regulations.
This document summarizes a leading IT solutions provider in Kosovo's use of NetFlow Analyzer to monitor their network. They have 500 employees across 2 branch offices with over 5,000 interfaces on their routers and switches. Previously, they struggled with connectivity issues, inability to measure bandwidth usage, and difficulty tracing security threats. Using NetFlow Analyzer since 2012 has helped them lower bandwidth costs by 25% by identifying unnecessary bandwidth usage, improve quality of service by resolving connectivity problems faster, and maintain network security by monitoring for anomalies. The provider credits NetFlow Analyzer with reducing monitoring time and assessing future network needs.
NYC Workshop: Improving the Business Value of your Service Management ProgramNavvia
David Mainville, CEO of Navvia lead this interactive workshop and discussed:
- What’s wrong with today's Service Management programs?
- Positioning and selling the value of your Service Management program in Business Terms
- Identifying opportunities for improvement by soliciting feedback directly from your users
- Getting everyone on the same page by designing, documenting and communicating what needs to be done
- Continually improving your value to the Business
For more great content please visit: http://navvia.com/resources/
Black Hat 2014: Don’t be a Target: Everything You Know About Vulnerability Pr...Skybox Security
Presented at Black Hat 2014.
Heartbleed. Target. Adobe … businesses are under siege by cybercriminals looking for financial gain and political actors looking for trade secrets. It’s a wildly uneven match where a motivated attacker can find exploitable attack vectors in minutes and maintain unabated access for months, while the security team continues to rely on time-honored methodology to fix vulnerabilities in order of severity.
But severity-based vulnerability management misses the mark completely, as it overlooks the fact that risk exposure is the real concern. This workshop will focus on identifying critical vulnerabilities so they can be fixed as quickly as possible to ensure a reduction in risk and the shrinking the attack surface over time.
In this deep dive session on vulnerability analysis and prioritization, we’ll cover:
- Calculating risk exposure: Risk = Impact * Likelihood * Time
- The data you need to be collecting about assets and vulnerabilities
- Prioritizing vulnerabilities using simple 2 factor relationships
- Asset-to-vulnerability correlation to augment the accuracy and freshness of active scan data
- Techniques to drive down the risk exposure time
Kill Chain Model for Use Cases Assist in Incident Response
1- Situational Awareness
Outbound Protocols
Outbound protocols by size
Top destination Countries
Top destination Countries by size
2- Reconnaissance
Port scan activity
ICMP query
3- Weaponization and Delivery
Injection
Cross Site Scripting
Cross Site Request Forgery
Failure to Restrict URL
Downloaded binaries
Top email subjects
Domains mismatching
Malicious or anomalous Office/Java/Adobe files
Suspicious Web pages (iframe + [pdf|html|js])
Measuring method complexity of the case management modeling and notation (CMMN)Mike Marin
Compares modeling notation between CMMN, BPMN, EPC, and UML Activity Diagrams using the meta-model based method complexity approach introduced by Rossi and Brinkkemper
Consider a logical cross reference or grouping for Cybersecurity Framework subcategories. This could make an assessment easier and more meaningful.
The Cybersecurity Framework identifies categories and subcategories of practice, processes, and activities to be used in a cyber security assessment. But, categories often house unrelated subcategories and subcategories are dependent on other subcategories across various categories.
Mapping the Enterprise Threat, Risk, and Security Control Landscape with SplunkAndrew Gerber
The document discusses using Splunk to monitor network activity and detect potential security threats. It proposes using Splunk to profile VPN usage and detect abnormal remote access patterns that could indicate security compromises. It also proposes using Splunk to monitor network "jumping" where devices switch between the corporate network and guest network, to detect attempts to bypass security controls or access external websites hosting malware. The approach involves analyzing trends in network activity over time and drilling down on individual users as needed to investigate anomalous behaviors in more depth.
ISACA - China Cybersecurity Law Presentation - Kyle Lai - v3.2Kyle Lai
The document summarizes China's new Cybersecurity Law and its potential impact on global businesses. It provides definitions of key terms in the law and outlines some of the law's main provisions, such as data localization requirements for critical information infrastructure operators and penalties for cyber attacks on Chinese infrastructure from foreign groups. The law establishes China's sovereignty over networks located within its borders and aims to strengthen protections for network operations, information, and critical infrastructure.
An overview of how to structure a threat based assessment of risk that is relevant to the business and which clearly ties risk mitigation to the threats being mitigated in a way that business leaders can easily understand.
The document discusses the NIST Cybersecurity Framework, which provides guidelines for critical infrastructure security and management of cybersecurity risks. It was created through a collaboration between government and industry to help organizations manage and reduce cybersecurity risks. The framework consists of five concurrent and continuous functions - Identify, Protect, Detect, Respond, Recover. It also outlines implementation tiers from Partial to Adaptive to help organizations determine their cybersecurity risk management practices. The framework is meant to be flexible and not prescriptive in order to accommodate different sectors and risks profiles.
The document provides a review and comparison of the QRadar, ArcSight, and Splunk SIEM platforms. It summarizes their key capabilities and components. For each solution, it outlines strengths such as integrated monitoring, analytics features, and scalability. It also notes weaknesses such as complexity, customization limitations, and high data volume licensing costs. The comparison finds QRadar well-suited for smaller deployments, ArcSight for medium-large organizations, and notes Splunk's log collection strengths but limited out-of-the-box correlations compared to competitors. Gartner assessments for each platform cover visibility trends, deployment challenges, and roadmap monitoring advice.
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
Cloud Computing Adoption for SMEs Challenges, Barriers and OuWilheminaRossi174
Cloud Computing Adoption for SMEs: Challenges, Barriers and Outcomes by Mojtaba Akbari
from [email protected] is available under a Creative Commons Attribution-NonCommercial-
ShareAlike 3.0 Unported license. UMGC has modified this work and it is available under the
original license.
19
3 MIGRATION OF SMES TO CLOUD
3.1 Introduction
Information Technology has become a crucially important part of the today’s business
world impacting almost all industries and sectors. Small and Medium Enterprises
(SMEs) on the other hand are considered as a vital element of the global economy.
Due to the specific requirements and characteristics of smaller organizations (such as
number of employees and budget) compared to larger corporates, the attitude of the
SMEs towards new IT technologies are normally more conservative than that of their
bigger counterparts. This chapter provides a definition of an SME, and describes the
characteristics that distinguish them from large enterprises. Then existing research
studies addressing the factors that influence adoption of new IT technologies by SMEs
are reviewed. Subsequently, the chapter focuses on cloud technology, and reviews
existing research studies that have been specifically discussing adaptation of cloud
computing by SMEs.
3.2 Definition of Sm all and Medium E nterprises
Small and Medium Enterprise (SME), also known as Small and Medium Business
(SMB), is a term used to describe companies with the number of employees below a
certain threshold. While the term ‘SME’ is more common within the European Union
and is used by major international organizations, such as, the United Nations (UN) and
the World Bank, SMB is more frequently used in United States (Georgios et al., 2001).
Until very recently, the definition of SME was different amongst various European
countries. For example, in Germany any company with a total headcount of less than
255 people was considered as an SME while this limit was 100 in Belgium or Greece
for example (Georgios et al., 2001). In 2011, the European Commission decided to
adopt a unified definition for SMEs. Within this perspective, SMEs are classified to
three categories of 1) micro-entities that are companies with less than 10 employees,
2) small companies with up to 50 headcounts and finally 3) medium-sized companies
are considered those which less than 250 permanent employees. From the financial
perspective, an SME can be defined as an enterprise with the revenue of €10-50
million. The definition is not very straightforward in US as it depends on different
criteria, such as, the industry, ownership structure and revenue.
20
3.3 Characteristics of SMEs
The traditional view of SMEs was that they are in fact the same as the bigger
companies with only difference in size. However, it is currently a well-known fact that
the very size constraints of the SMEs make them distinct from their larger
counterpa ...
Cyber Security Conference - Trustworthy computing cybersecurity white paperMicrosoft
This document discusses cybersecurity and Microsoft's approach. It argues that cybersecurity is essential for a safe, connected society and modern governance. The document outlines Microsoft's risk management approach, which includes understanding threats, enhancing secure product development, supply chain security, operational security, and security against social engineering. It recommends that governments develop coordinated national cybersecurity strategies, flexible risk management, and innovative information sharing to address cybersecurity challenges.
This document provides an overview of consumer healthtech and discusses the personal information it collects and processes. It notes that consumer healthtech includes wearable devices and apps that track health metrics. It states these technologies collect sensitive data like heart rate, sleep quality, and potentially biomarkers from tears or sweat. The document discusses how this data is initially collected locally by devices but then sent to cloud servers for further processing using AI. It notes potential privacy risks if this health data is leaked, used for unsuitable purposes, or to make inappropriate health decisions about individuals.
ITU Security in Telecommunications & Information TechnologyITU
The ITU-T Security Manual offers a comprehensive overview of ITU-T’s work to build confidence and security in the use of information and communication technologies (ICTs).
The manual documents ITU-T’s efforts to respond to global cybersecurity challenges with international standards, complementary guidance documents and outreach to build capacity in the application of advanced ICT security mechanisms.
Introductory chapters highlight high-priority areas of ITU-T security work and basic requirements for the protection of ICT applications, services and information. Central to this introduction is an examination of standards’ role in meeting the security requirements borne of prevalent threats and vulnerabilities.
The manual outlines foundational security architectures as a basis for the discussion of more specific security considerations, following an iterative structure addressing key aspects of ICT security:
Generic security architectures for open systems and end-to-end communications, as well as examples of application-specific architectures, which establish frameworks for the consistent application of multiple facets of security.
Information security management, risk management and asset management, including management activities relevant to securing network infrastructure and the data used to monitor and control the telecommunications network.
The Directory and its role in supporting authentication and other security services. Particular attention is paid to the cryptographic concepts that rely on Directory services, providing an introduction to public key infrastructures, digital signatures and privilege-management infrastructures.
Identity management – a topic of growing importance to connected things, objects and devices – and the related topic of telebiometrics, the use of biometric characteristics for personal identification and authentication in telecommunications environments.
Approaches to network security, including the security requirements for next-generation networks and mobile communications networks in transition from a single technologies (e.g. CDMA or GSM) to mobility across heterogeneous platforms using the Internet Protocol (IP). This section also tackles security provisions for home networks, cable television and ubiquitous sensor networks.
Cybersecurity and incident response, looking at how best to develop an effective response to cyber attacks, including the need to understand the source and nature of attacks when sharing associated information with monitoring agencies.
Application-specific security needs, emphasizing the security features defined in ITU-T standards for Voice over IP, Internet Protocol Television, Web services, and identification tags such as RFID tags.
Technical measures to counter common network threats such as spam, malicious code and spyware, including the importance of ti
As Global thought leader on Digitalization of Governments, I was asked to address the Minister of ICT and Senior Government leaders at a conference in Port Louis. My first presentation was around how Governments can leapfrog using ICT. The key message is that Governments carefully need to assess the right path of development to ensure right service for right citizen.
This document is Taco Dols' master's thesis from October 2009 titled "Influencing Factors towards Non-Compliance in Information Systems". The thesis examines factors that influence employee usage of shadow IT systems and non-compliance with data security policies. Through a literature review and survey of PricewaterhouseCoopers employees in the Netherlands and Belgium, the thesis aims to identify these influencing factors and develop a framework for effective security awareness training and policy development. The survey found differences in attitudes and behaviors between nationality, gender, and age. However, it did not establish clear links between non-compliance and factors like poor business-IT alignment or reduced IT funding. The thesis concludes by outlining recommendations, including a
2019 14th Iberian Conference on Information Systems and Tech.docxjesusamckone
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
19 – 22 June 2019, Coimbra, Portugal
ISBN: 978-989-98434-9-3
How ISO 27001 can help achieve GDPR compliance
Isabel Maria Lopes
Polytechnic Institute of Bragança, Bragança, Portugal
UNIAG, Polytechnic Institute of Bragança, Portugal
ALGORITMI Centre, Minho University, Guimarães,
Portugal
[email protected]
Pedro Oliveira
Polytechnic Institute of Bragança, Bragança, Portugal
[email protected]
Teresa Guarda
Universidad Estatal Península de Santa Elena – UPSE, La
Libertad, Ecuador
Universidad de las Fuerzas Armadas – ESPE, Sangolqui,
Quito, Equador
ALGORITMI Centre, Minho University, Guimarães,
Portugal
[email protected]
Abstract — Personal Data Protection has been among the most
discussed topics lately and a reason for great concern among
organizations. The EU General Data Protection Regulation
(GDPR) is the most important change in data privacy regulation
in 20 years. The regulation will fundamentally reshape the way in
which data is handled across every sector. The organizations had
two years to implement it. As referred by many authors, the
implementation of the regulation has not been an easy task for
companies. The question we aim to answer in this study is how far
the implementation of ISO 27001 standards might represent a
facilitating factor to organizations for an easier compliance with
the regulation. In order to answer this question, several websites
(mostly of consulting companies) were analyzed, and the aspects
considered as facilitating are listed in this paper.
Keywords - regulation (EU) 2016/679; general data protection
regulation; ISO/IEC 27001.
I. INTRODUCTION
In recent years, data protection has become a forefront issue
in cyber security. The issues introduced by recurring
organizational data breaches, social media and the Internet of
Things (IoT) have raised the stakes even further [1, 2]. The EU
GDPR, enforced from May 25 2018, is an attempt to address
such data protection. The GDPR makes for stronger, unified data
protection throughout the EU.
The EU GDPR states that organizations must adopt
appropriate policies, procedures and processes to protect the
personal data they hold.
The International Organization for Standardization (ISO)
/International Electrotechnical Commission (IEC) 27000 series
is a set of information security standards that provide best-
practice recommendations for information security management
[3].
This international standard for information security, ISO
27001, provides an excellent starting point for achieving the
technical and operational requirements necessary to reduce the
risk of a breach.
Not all data is protected by the GDPR, since it is only
applicable to personal data. This is defined in Article 4 as
follows [4]:
“personal data” means any information relating to an
identified or identifiable natural person (’data subject’); an
identifiable.
2019 14th Iberian Conference on Information Systems and Tech.docxRAJU852744
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
19 – 22 June 2019, Coimbra, Portugal
ISBN: 978-989-98434-9-3
How ISO 27001 can help achieve GDPR compliance
Isabel Maria Lopes
Polytechnic Institute of Bragança, Bragança, Portugal
UNIAG, Polytechnic Institute of Bragança, Portugal
ALGORITMI Centre, Minho University, Guimarães,
Portugal
[email protected]
Pedro Oliveira
Polytechnic Institute of Bragança, Bragança, Portugal
[email protected]
Teresa Guarda
Universidad Estatal Península de Santa Elena – UPSE, La
Libertad, Ecuador
Universidad de las Fuerzas Armadas – ESPE, Sangolqui,
Quito, Equador
ALGORITMI Centre, Minho University, Guimarães,
Portugal
[email protected]
Abstract — Personal Data Protection has been among the most
discussed topics lately and a reason for great concern among
organizations. The EU General Data Protection Regulation
(GDPR) is the most important change in data privacy regulation
in 20 years. The regulation will fundamentally reshape the way in
which data is handled across every sector. The organizations had
two years to implement it. As referred by many authors, the
implementation of the regulation has not been an easy task for
companies. The question we aim to answer in this study is how far
the implementation of ISO 27001 standards might represent a
facilitating factor to organizations for an easier compliance with
the regulation. In order to answer this question, several websites
(mostly of consulting companies) were analyzed, and the aspects
considered as facilitating are listed in this paper.
Keywords - regulation (EU) 2016/679; general data protection
regulation; ISO/IEC 27001.
I. INTRODUCTION
In recent years, data protection has become a forefront issue
in cyber security. The issues introduced by recurring
organizational data breaches, social media and the Internet of
Things (IoT) have raised the stakes even further [1, 2]. The EU
GDPR, enforced from May 25 2018, is an attempt to address
such data protection. The GDPR makes for stronger, unified data
protection throughout the EU.
The EU GDPR states that organizations must adopt
appropriate policies, procedures and processes to protect the
personal data they hold.
The International Organization for Standardization (ISO)
/International Electrotechnical Commission (IEC) 27000 series
is a set of information security standards that provide best-
practice recommendations for information security management
[3].
This international standard for information security, ISO
27001, provides an excellent starting point for achieving the
technical and operational requirements necessary to reduce the
risk of a breach.
Not all data is protected by the GDPR, since it is only
applicable to personal data. This is defined in Article 4 as
follows [4]:
“personal data” means any information relating to an
identified or identifiable natural person (’data subject’); an
identifiable.
RegTech refers to the use of new technologies to help firms address increasing regulatory requirements and challenges. RegTech solutions can provide benefits like agility, speed, integration, and analytics capabilities to help firms better understand and manage their compliance risks. Examples of RegTech solutions that are becoming more prominent include tools for regulatory gap analysis, compliance universe mapping, health checks, management information, and transaction reporting. Firms can leverage RegTech solutions to automate mundane compliance tasks and reduce operational risks, while also gaining insights into their compliance risks through data and analytics capabilities.
GOVERNING INFORMATION SECURITY IN CONJUNCTION WITH COBIT AND ISO 27001IJNSA Journal
In this paper, after giving a brief definition of Information Security Management Systems (ISMS), ISO 27001, IT governance and COBIT, pros and cons of implementing only COBIT, implementing only IS0 27001 and implementing both COBIT and ISO 27001 together when governing information security in enterprises will be issued.
This document discusses IT compliance. It defines compliance as obeying and following laws, rules, and demands. It outlines several frameworks for IT compliance including ISO standards, COBIT, and industry-specific regulations. The document compares the costs of compliance versus non-compliance, noting that non-compliance can result in regulatory penalties, brand damage, and loss of customer trust. Market research findings show that the cost of non-compliance is typically higher than compliance costs and is related to the number of records lost in data breaches. Effective compliance strategies like ongoing audits can help reduce total compliance costs.
Dr Dev Kambhampati | Strategic Principles for Securing the Internet of Things...Dr Dev Kambhampati
The document discusses the growth of internet-connected devices (IoT) and the risks posed by inadequate security for these devices. It provides strategic principles and best practices for securing IoT devices and systems. The key risks include malicious actors manipulating device data to cause privacy breaches, business disruptions, infrastructure failures. The principles are meant to guide IoT developers, manufacturers, service providers and users in designing, building and deploying secure IoT. Incorporating security from the start, through practices like unique passwords and up-to-date software, is emphasized to reduce risks and costs of breaches.
The document is a code of practice for consumer IoT security that provides 13 guidelines for securing internet-connected devices and associated services. The guidelines address issues such as using unique passwords instead of defaults, keeping software updated, securely storing credentials, encrypting communications, and making it easy for consumers to delete personal data. The aim is to support all parties in developing secure consumer IoT products and services.
This document summarizes the Future Cloud Action Line initiative led by EIT ICT Labs. The initiative aims to drive European competitiveness in cloud services and big data by deploying trusted cloud technologies and analytics. It will provide tools and services to help consumers and businesses better control their sensitive personal data. The core partners represent leading technology companies, SMEs, and research institutions from four countries. The initiative will follow an agile approach over multiple cycles of delivering results, learning, and strategic alignment. It also includes an SME call for proposals to join the consortium and access support and opportunities in security, privacy, experimentation, and potential business relationships.
Compliance in Unified Communications & Collaboration- The Financial Sector (1)Steve Hood
This document discusses compliance issues related to implementing Unified Communications & Collaboration (UCC) systems, particularly in the financial sector. It notes that compliance regulations apply not just to data storage and processing but to all business communications, including telephony, video, and instant messaging. The financial industry has stringent call recording requirements that will be expanded in upcoming regulations. Additionally, any organization handling personal data must protect it according to EU directives. As UCC systems integrate real-time communication into IT networks, adequate security measures must be implemented to ensure compliance and prevent data breaches. The document provides steps organizations should take to audit systems and implement effective UCC security controls that meet all relevant compliance obligations.
Compliance in Unified Communications & Collaboration- The Financial Sector (1)Alan Coleman
This document discusses compliance issues related to implementing Unified Communications & Collaboration (UCC) systems, particularly in the financial sector. It notes that compliance regulations apply not just to data storage and processing but also to all business communications like telephony, video, and instant messaging. The financial industry has additional regulations around call recording and data privacy. Ensuring UCC implementations meet all compliance obligations requires understanding applicable regulations, auditing systems for vulnerabilities, reviewing security measures, and implementing controls like call encryption. Failure to properly secure UCC risks losing sensitive personal data and exposes organizations to potential fines.
Compliance in Unified Communications & Collaboration- The Financial Sector (1)Steven Pearson
This document discusses compliance issues related to implementing Unified Communications & Collaboration (UCC) systems, particularly in the financial sector. It notes that compliance regulations apply not just to data storage and processing but also to all business communications like telephony, video, and instant messaging. The financial industry has additional regulations around call recording and data privacy. Ensuring UCC implementations meet all compliance obligations requires understanding applicable regulations, auditing systems for vulnerabilities, reviewing security measures, and implementing controls like call encryption. Failure to properly secure UCC risks losing sensitive personal data and exposes organizations to potential fines.
The document provides guidelines for IT security. It discusses how IT security is becoming increasingly important as organizations' business and work processes rely more on IT solutions. The guidelines provide a compact overview of the most important organizational, infrastructural, and technical IT security safeguards. They are aimed at helping small and medium-sized companies and public agencies establish a reliable level of IT security without needing a large IT budget. The guidelines illustrate security risks and necessary safeguards through practical examples and checklists.
Towards an innovative systemic approach of risk managementchristophefeltus
This document proposes an innovative systemic approach to managing risks across interconnected sectors in Luxembourg's digital economy. It discusses how individual sectors are increasingly interdependent, so risks in one sector can impact others. The authors argue a systemic risk management approach is needed to improve accuracy, reactivity and minimize risk propagation across sectors. They describe ongoing work to develop an enterprise architecture model to assess cross-sector risks using proof of concepts with Luxembourg's regulators and ICT providers. The goal is a common risk management framework and interface to facilitate agreement between actors and oversee risks at a national level.
This document proposes an innovative systemic approach to risk management across interconnected sectors. It suggests using enterprise architecture models to manage cross-sector risks in Luxembourg's complex ICT ecosystem. The approach would provide regulators an overview of all players and systems, as well as models of different sectors to analyze collected data and risks at a national level, fostering accurate and reactive risk mitigation across economic domains.
Similar to ETIS Information Security Benchmark Successful Practices in telco security (20)
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.