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.
Digital Personal Data Protection (DPDP) Practical Approach For CISOsPriyanka Aash
Key Discussion Pointers:
1. Introduction to Data Privacy
- What is data privacy
- Privacy laws around the globe
- DPDPA Journey
2. Understanding the New Indian DPDPA 2023
- Objectives
- Principles of DPDPA
- Applicability
- Rights & Duties of Individuals
- Principals
- Legal implications/penalties
3. A practical approach to DPDPA compliance
- Personal data Inventory
- DPIA
- Risk treatment
Data Privatisation, Data Anonymisation, Data Pseudonymisation and Differentia...Alan McSweeney
This paper describes how technologies such as data pseudonymisation and differential privacy technology enables access to sensitive data and unlocks data opportunities and value while ensuring compliance with data privacy legislation and regulations.
Norfolk Chamber delivered a morning conference based around the European General Data Protection Regulation (GDPR), which will come into force on May 25 2018. Delegates heared from a variety of GDPR expert speakers from legal, marketing, IT and Data Protection perspectives.
Digital Personal Data Protection (DPDP) Practical Approach For CISOsPriyanka Aash
Key Discussion Pointers:
1. Introduction to Data Privacy
- What is data privacy
- Privacy laws around the globe
- DPDPA Journey
2. Understanding the New Indian DPDPA 2023
- Objectives
- Principles of DPDPA
- Applicability
- Rights & Duties of Individuals
- Principals
- Legal implications/penalties
3. A practical approach to DPDPA compliance
- Personal data Inventory
- DPIA
- Risk treatment
Data Privatisation, Data Anonymisation, Data Pseudonymisation and Differentia...Alan McSweeney
This paper describes how technologies such as data pseudonymisation and differential privacy technology enables access to sensitive data and unlocks data opportunities and value while ensuring compliance with data privacy legislation and regulations.
Norfolk Chamber delivered a morning conference based around the European General Data Protection Regulation (GDPR), which will come into force on May 25 2018. Delegates heared from a variety of GDPR expert speakers from legal, marketing, IT and Data Protection perspectives.
Global Azure Bootcamp Pune 2023 - Lead the AI era with Microsoft Azure.pdfAroh Shukla
In the era of AI, you can lead and empower your users with the latest innovation of Azure. In this keynote, we will cover
1. Microsoft and OpenAI partnership
2. Azure OpenAI Service
3. Azure AI stack
4. Azure OpenAI Service Capabilities
5. Top Capabilities and Use Cases
6. Power Platform and Azure OpenAI Integration
Unit 6 Privacy and Data Protection 8 hrTushar Rajput
Right to Privacy and its Legal Framework, The Concept of Privacy, National Legal
Framework for Protecting Privacy, International Legal Framework for Protecting Privacy, Privacy Related Wrongs and Remedies, Data Security, The Concept of Security in Cyberspace, Technological Vulnerabilities, Legal Response to Technological
Vulnerabilities, Security Audit (VA/PT), Data Protection, Data Protection Position in
India, Privacy Policy, Emerging Issues in Data Protection and Privacy, BPOs and
Legal Regime in India, Protect Kids' Privacy Online, Evolving Trends in Data Protection and Information Security
Explores:
1. Introduction to Privacy Regimes in the United States and Abroad
2. Mobile Applications and Devices
3. Lawful Collection and Use of “Big Data”
4. International Privacy and Cross-Border Data Transfers
5. Data Security Requirements and Data Breach Response
6. IT Outsourcing and the Cloud
7. Recent Developments and Emerging Issues
Gast-college voor Hogeschool Utrecht over referentie-architecturen. Naast een algemene inleiding wordt met name ingegaan op de Hoger Onderwijs Referentie Architectuur en een referentie-architectuur voor identity & access management.
Data Processing - data privacy and sensitive dataOpenAIRE
Data Processing - data privacy and sensitive data- Elli Papadopoulou (Librarian at Athena R.C. / OpenAIRE NOAD for Greece)
Presented : at OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services” https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services
This Presentation explains what GDPR is and the impact it'll have for Companies who process data of EU Citizens.
This Guide explains the principles of GDPR, Consent, User Rights and also explains how to implement GDPR in your organization.
Originally appeared at
http://backlinkme.net/definitive-guide-for-general-data-protection-regulation-gdpr-compliance/
This talk is about building Audi's big data platform from a first Hadoop PoC to a multi-tenant enterprise platform. Why a big data platform at all? We explain the requirements that drove the development of this platform and explain the decisions we had to make during this journey.
During the process of setting up our big data infrastructure, we often had to find the right balance between going for enterprise integration versus speed. For instance, whether to use the existing Active Directory for both LDAP and KDC versus setting up our own KDC. Using a shared enterprise service like Active Directory requires to follow certain naming conventions and restricted access, where running our own KDC brings much more flexibility but also adds another component to maintain to our platform. We show the advantages and disadvantages and explain why we've decided to choose a certain approach.
For data ingestion of both batch and streaming data, we use Apache Kafka. We explain why we installed a separate Kafka cluster from our Hadoop platform. We discuss the pros and cons of using the Kafka binary protocol and the HTTP REST protocol not only from a technical perspective but also from the organisational perspective as the source systems are required to push data into Kafka.
We give an overview of our current architecture including how some use cases are implemented on it. Some of them run exclusively on our new big data stack, while others use it in conjunction with our data warehouse. The use cases cover all different kinds of data from sensory data of robots in our plants to click streams from web applications.
Building an enterprise platform does not only consist of technical tasks but also of organizational tasks: data ownership, authorization to access certain data sets, or more financial ones like internal pricing and SLAs.
Although we have already achieved quite a lot, our journey has not yet ended. There are still some open topics to address, like providing a unified logging solution for applications spanning multiple platforms. Or finally offering a notebook-like Zeppelin to our analysts. Or addressing legal issues like GDPR.
We will conclude our talk with a short glimpse into our ongoing extension of our on-premises platform into a hybrid cloud platform.
Speakers
Carsten Herbe, Big Data Architect, Audi AG
Matthias Graunitz, Big Data Architect, Audi AG
ATTACKers Think in Graphs: Building Graphs for Threat IntelligenceMITRE - ATT&CKcon
From MITRE ATT&CKcon Power Hour January 2021
By Valentine Mairet, Security Researcher, McAfee
The MITRE ATT&CK framework is the industry standard to dissect cyberattacks into used techniques. At McAfee, all attack information is disseminated into different categories, including ATT&CK techniques. What results from this exercise is an extensive repository of techniques used in cyberattacks that goes back many years. Much can be learned from looking at historical attack data, but how can we piece all this information together to identify new relationships between threats and attacks? In her recent efforts, Valentine has embraced analyzing ATT&CK data in graphical representations. One lesson learned is that it is not just about merely mapping out attacks and techniques used into graphs, but the strength lies in applying different algorithms to answer specific questions. In this presentation, Valentine will showcase the results and techniques obtained from her research journey using graph and graph algorithms.
Henkilötietojen ja yksityisyyden suojaaminenHarto Pönkä
Puheenvuoro KVS-säätiön, Faktabaarin, Helsingin kaupunginkirjaston ja Kansalaisopistojen liiton "Digilukutaito kansalaistaidoksi" -webinaarisarjassa, 23.11.2023, Harto Pönkä, Innowise
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Global Azure Bootcamp Pune 2023 - Lead the AI era with Microsoft Azure.pdfAroh Shukla
In the era of AI, you can lead and empower your users with the latest innovation of Azure. In this keynote, we will cover
1. Microsoft and OpenAI partnership
2. Azure OpenAI Service
3. Azure AI stack
4. Azure OpenAI Service Capabilities
5. Top Capabilities and Use Cases
6. Power Platform and Azure OpenAI Integration
Unit 6 Privacy and Data Protection 8 hrTushar Rajput
Right to Privacy and its Legal Framework, The Concept of Privacy, National Legal
Framework for Protecting Privacy, International Legal Framework for Protecting Privacy, Privacy Related Wrongs and Remedies, Data Security, The Concept of Security in Cyberspace, Technological Vulnerabilities, Legal Response to Technological
Vulnerabilities, Security Audit (VA/PT), Data Protection, Data Protection Position in
India, Privacy Policy, Emerging Issues in Data Protection and Privacy, BPOs and
Legal Regime in India, Protect Kids' Privacy Online, Evolving Trends in Data Protection and Information Security
Explores:
1. Introduction to Privacy Regimes in the United States and Abroad
2. Mobile Applications and Devices
3. Lawful Collection and Use of “Big Data”
4. International Privacy and Cross-Border Data Transfers
5. Data Security Requirements and Data Breach Response
6. IT Outsourcing and the Cloud
7. Recent Developments and Emerging Issues
Gast-college voor Hogeschool Utrecht over referentie-architecturen. Naast een algemene inleiding wordt met name ingegaan op de Hoger Onderwijs Referentie Architectuur en een referentie-architectuur voor identity & access management.
Data Processing - data privacy and sensitive dataOpenAIRE
Data Processing - data privacy and sensitive data- Elli Papadopoulou (Librarian at Athena R.C. / OpenAIRE NOAD for Greece)
Presented : at OpenAIRE - EOSC-hub webinar “Data Privacy and Sensitive Data Services” https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services https://www.openaire.eu/item/openaire-eosc-hub-webinar-data-privacy-and-sensitive-data-services
This Presentation explains what GDPR is and the impact it'll have for Companies who process data of EU Citizens.
This Guide explains the principles of GDPR, Consent, User Rights and also explains how to implement GDPR in your organization.
Originally appeared at
http://backlinkme.net/definitive-guide-for-general-data-protection-regulation-gdpr-compliance/
This talk is about building Audi's big data platform from a first Hadoop PoC to a multi-tenant enterprise platform. Why a big data platform at all? We explain the requirements that drove the development of this platform and explain the decisions we had to make during this journey.
During the process of setting up our big data infrastructure, we often had to find the right balance between going for enterprise integration versus speed. For instance, whether to use the existing Active Directory for both LDAP and KDC versus setting up our own KDC. Using a shared enterprise service like Active Directory requires to follow certain naming conventions and restricted access, where running our own KDC brings much more flexibility but also adds another component to maintain to our platform. We show the advantages and disadvantages and explain why we've decided to choose a certain approach.
For data ingestion of both batch and streaming data, we use Apache Kafka. We explain why we installed a separate Kafka cluster from our Hadoop platform. We discuss the pros and cons of using the Kafka binary protocol and the HTTP REST protocol not only from a technical perspective but also from the organisational perspective as the source systems are required to push data into Kafka.
We give an overview of our current architecture including how some use cases are implemented on it. Some of them run exclusively on our new big data stack, while others use it in conjunction with our data warehouse. The use cases cover all different kinds of data from sensory data of robots in our plants to click streams from web applications.
Building an enterprise platform does not only consist of technical tasks but also of organizational tasks: data ownership, authorization to access certain data sets, or more financial ones like internal pricing and SLAs.
Although we have already achieved quite a lot, our journey has not yet ended. There are still some open topics to address, like providing a unified logging solution for applications spanning multiple platforms. Or finally offering a notebook-like Zeppelin to our analysts. Or addressing legal issues like GDPR.
We will conclude our talk with a short glimpse into our ongoing extension of our on-premises platform into a hybrid cloud platform.
Speakers
Carsten Herbe, Big Data Architect, Audi AG
Matthias Graunitz, Big Data Architect, Audi AG
ATTACKers Think in Graphs: Building Graphs for Threat IntelligenceMITRE - ATT&CKcon
From MITRE ATT&CKcon Power Hour January 2021
By Valentine Mairet, Security Researcher, McAfee
The MITRE ATT&CK framework is the industry standard to dissect cyberattacks into used techniques. At McAfee, all attack information is disseminated into different categories, including ATT&CK techniques. What results from this exercise is an extensive repository of techniques used in cyberattacks that goes back many years. Much can be learned from looking at historical attack data, but how can we piece all this information together to identify new relationships between threats and attacks? In her recent efforts, Valentine has embraced analyzing ATT&CK data in graphical representations. One lesson learned is that it is not just about merely mapping out attacks and techniques used into graphs, but the strength lies in applying different algorithms to answer specific questions. In this presentation, Valentine will showcase the results and techniques obtained from her research journey using graph and graph algorithms.
Henkilötietojen ja yksityisyyden suojaaminenHarto Pönkä
Puheenvuoro KVS-säätiön, Faktabaarin, Helsingin kaupunginkirjaston ja Kansalaisopistojen liiton "Digilukutaito kansalaistaidoksi" -webinaarisarjassa, 23.11.2023, Harto Pönkä, Innowise
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Protecting data privacy in analytics and machine learning - ISACAUlf 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 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.
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will 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.
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.
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
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.
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
What is tokenization in blockchain - BCS LondonUlf Mattsson
BCS North London Branch in association with Central London Branch webinar (by GoToWebinar) Date: 2nd December 2020 Time: 18.00 to 19.30 Event title: Blockchain tokenization “What is tokenization in Blockchain?”
Agenda
Blockchain
What is Blockchain?
Use cases, trends and risks
Vendors and platforms
Data protection techniques and scalability
Tokenization
Digital business
Convert a digital value into a digital token
Local and central models
Cloud
Tokenization in Hybrid cloud
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. AI, Blockchain, IoT Convergence Use Case System Implementation Examples
1. Blockchain-based Privacy-Preserving Federated Learning System
2. Blockchain-based Decentralized IoT & AI Data Marketplace
3. Blockchain-based Trustworthy AI & IoT Systems
4. Blockchain-based Decentralized Parallel Edge Machine Learning
5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT
6. AI+Blockchain System for Car Sharing Service
7. Connected Autonomous Vehicle Communication Management System
8. 5G-based AI+Blockchain+IoT Edge Computing System
the world of technology is changing at an unprecedented pace, and th.docxpelise1
the world of technology is changing at an unprecedented pace, and these changes represent business opportunities as well as challenges. Mass connectivity and faster speeds create opportunities for businesses to network more devices, complete more transactions, and enhance transaction quality. Internet Protocol version 6 (IPv6) and Internet of things (IoT) are two such technologies that represent significant opportunities for strategic cybersecurity technology professionals to create lasting value for their organizations.
IoT is the phenomenon of connecting devices used in everyday life. It provides an interactive environment of human users and a myriad of devices in a global information highway, always on and always able to provide information. IoT connections happen among many types of devices — sensors, embedded technologies, machines, appliances, smart phones — all connected through wired and wireless networks.
Cloud architectures such as software as a service have allowed for big data analytics and improved areas such as automated manufacturing. Data and real-time analytics are now available to workers through wearables and mobile devices.
Such pervasive proliferation of IoT devices gives hackers avenues to gain access to personal data and financial information and increases the complexity of data protection. Given the increased risks of data breaches, newer techniques in data loss prevention should be examined.
Increased bandwidth and increased levels of interconnectivity have allowed data to become dispersed, creating issues for big data integrity. In such a world, even the financial transactions of the future are likely to be different — Bitcoin and digital currency may replace a large portion of future financial transactions.
To survive and thrive, organizational technology strategists must develop appropriate technology road maps. These strategists must consider appropriate function, protection, and tamper-proofing of these new communications and transactions.
It will be impossible to protect data by merely concentrating on protecting repositories such as networks or endpoints. Cybersecurity strategists have to concentrate on protecting the data themselves. They will need to ensure that the data are protected no matter where they reside.:
Step2
Select Devices and Technologies
By now, you have an idea of your team members and your role on the team project. Now, it's time to get the details about the devices and technologies needed to be included in the Strategic Technology Plan for Data Loss Prevention.
You should limit the scope of this project by selecting a set of devices and technologies which are most appropriate for data loss prevention for your business mission and future success. Based on your prior knowledge of your company and based on the project roles you agreed upon in the previous step, perform some independent research on the following topics and identify a set of devices and technologies that you propose for.
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
Date: 15th November 2017
Location: AI Lab Theatre
Time: 16:30 - 17:00
Speaker: Elisabeth Olafsdottir / Santiago Castro
Organisation: Microsoft / Keyrus
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?SnapLogic
Companies collect more data but struggle with how to glean the best insights. Use of Machine Learning also needs power data integration.
In this presentation, Janet Jaiswal, SnapLogic's VP of product marketing, reviews key strategies and technologies to deliver intelligent data via self-service ML models.
To learn more, visit https://www.snaplogic.com
ITCamp 2018 - Cristiana Fernbach - GDPR compliance in the industry 4.0ITCamp
The session will address GDPR compliance challenges in the context of industry 4.0 and will offer a deeper look into the convergence of data privacy with the digitalisation movement, where Big Data, IoT, AI and Cloud services are all depending on one thing: DATA.
Leading businesses are stretching their boundaries and creating the fabric that connects customers, services and devices through the IoT. Security implications emerge that should be proactively addressed by enterprises looking to operate in the broad digital ecosystem and the “We Economy.”
Jun 29 new privacy technologies for unicode and international data standards ...Ulf Mattsson
Protecting the increasing use International Unicode characters is required by a growing number of Privacy Laws in many countries and general Privacy Concerns with private data. Current approaches to protect International Unicode characters will increase the size and change the data formats. This will break many applications and slow down business operations. The current approach is also randomly returning data in new and unexpected languages. New approach with significantly higher performance and a memory footprint can be customizable and fit on small IoT devices.
We will discuss new approaches to achieve portability, security, performance, small memory footprint and language preservation for privacy protecting of Unicode data. These new approaches provide granular protection for all Unicode languages and customizable alphabets and byte length preserving protection of privacy protected characters.
Old Approaches
Major Issues
Protecting the increasing use International Unicode characters is required by a growing number of Privacy Laws in many countries and general Privacy Concerns with private data.
Old approaches to protect International Unicode characters will typically increase the size and change the data formats.
This will break many applications and slow down business operations. This is an example of an old approach that is also randomly returning data in new and unexpected languages
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
qubit-conference-new-york-2021: https://nyc.qubitconference.com/
Cybersecurity: Get ready for the unpredictable
Create a sound cybersecurity strategy based on the right technology & budgetary insights, proven practices, and processes for SMEs.
This virtual event will equip CxOs and cybersecurity teams with the right intel to create a sound cybersecurity strategy based on the right technology & budgetary insights, proven practices, and processes specially tailored for SMEs.
Find out how to bring the smart design of cybersecurity architecture and processes, what to automate & how to properly set up internal and external ownership.
The proven cybersecurity strategy fit for your environment can go a long way. Know what to do in-house, what to outsource, set up your budgets right, and get help from the right cybersecurity specialists.
Secure analytics and machine learning in cloud use casesUlf Mattsson
Table of Contents:
Secure Analytics and Machine Learning in Cloud ......................................................................................... 2
Use case #1 in Financial Industry .............................................................................................................. 2
Data Flow .............................................................................................................................................. 2
The approach can be used for other Use-cases .................................................................................... 2
Homomorphic Encryption for Secure Machine Learning in Cloud ............................................................... 3
Evolving Homomorphic Encryption .......................................................................................................... 3
Performance Examples – HE, RSA and AES ........................................................................................... 3
Performance Examples – FHE, NTRU, ECC, RSA and AES ...................................................................... 3
Some popular HE schemes .................................................................................................................... 4
Examples of HE Libraries used by IBM, Duality, and Microsoft ............................................................ 4
Fast Homomorphic Encryption for Secure Analytics in Cloud ...................................................................... 4
Use case #2 in Health Care ........................................................................................................................ 5
Provable security for untrusted environments ..................................................................................... 5
Comparison to multiparty computation and trusted execution environments ................................... 5
Time and memory requirements of HE ................................................................................................ 5
Managing Data Security in Hybrid Cloud ...................................................................................................... 8
Data Security Policy and Zero Trust Architecture ..................................................................................... 8
The future of encryption will change in the Post-Quantum Era: .............................................................. 8
Managing Data Security in a Hybrid World ................................................................................................... 9
Evolving Privacy Regulations ....................................................................................................................... 10
New Ruling in GDPR under "Schrems II" ................................................................................................. 10
The new California Privacy Rights Act (CPRA)
Evolving international privacy regulations and cross border data transfer - g...Ulf Mattsson
We will discuss the Evolving International Privacy Regulations. Cross Border Data Transfer for GDPR under Schrems II is now ruled by an EU court that defined what is required. This ruling can be far reaching for many businesses.
Data encryption and tokenization for international unicodeUlf Mattsson
Unicode is an information technology standard for the consistent encoding, representation, and handling of text expressed in most of the world's writing systems. The standard is maintained by the Unicode Consortium, and as of March 2020, it has a total of 143,859 characters, with Unicode 13.0 (these characters consist of 143,696 graphic characters and 163 format characters) covering 154 modern and historic scripts, as well as multiple symbol sets and emoji. The character repertoire of the Unicode Standard is synchronized with ISO/IEC 10646, each being code-for-code identical with the other.
The Unicode Standard consists of a set of code charts for visual reference, an encoding method and set of standard character encodings, a set of reference data files, and a number of related items, such as character properties, rules for normalization, decomposition, collation, rendering, and bidirectional text display order (for the correct display of text containing both right-to-left scripts, such as Arabic and Hebrew, and left-to-right scripts). Unicode's success at unifying character sets has led to its widespread and predominant use in the internationalization and localization of computer software. The standard has been implemented in many recent technologies, including modern operating systems, XML, Java (and other programming languages), and the .NET Framework.
Unicode can be implemented by different character encodings. The Unicode standard defines Unicode Transformation Formats (UTF) UTF-8, UTF-16, and UTF-32, and several other encodings. The most commonly used encodings are UTF-8, UTF-16, and UCS-2 (a precursor of UTF-16 without full support for Unicode)
The future of data security and blockchainUlf Mattsson
Discussion of Post-Quantum Cryptography and other technologies:
Data Security Techniques
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Blockchain
Regulations and Standards in Data Privacy
GDPR and evolving international privacy regulationsUlf Mattsson
Convergence of data privacy principles, standards and regulations
General Data Protection Regulation (GDPR)
GDPR and California Consumer Privacy Act (CCPA)
What role does technologies play in compliance
Use Cases
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
ISACA London Chapter webinar, Feb 16th 2021
Topic: “Protecting Data Privacy in Analytics and Machine Learning”
Abstract:
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 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.
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will 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.
New opportunities and business risks with evolving privacy regulationsUlf Mattsson
In the shadow of the global pandemic and the associated economic downturn, organizations are focused on cost optimization, which often leads to impulsive decisions to deprioritize compliance with all nonrevenue programs.
Regulators have evolved to adapt with the notable increase in data subject complaints and are getting more serious about organizations that don’t properly protect consumer data. Marriott was hit with a $124 million fine while Equifax agreed to pay a minimum of $575 million for its breach. The US Federal Trade Commission, the US Consumer Financial Protection Bureau (CFPB), and all 50 U.S. states and territories sued over the company’s failure to take “reasonable steps” to secure its sensitive personal data.
Privacy and data protection are enforced by a growing number of regulations around the world and people are actively demanding privacy protection — and legislators are reacting. More than 60 countries have introduced privacy laws in response to citizens’ cry for transparency and control. By 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations, up from 10% today, according to Gartner. There is a convergence of data privacy principles, standards and regulations on a common set of fundamental principles.
The opportunities to use data are growing exponentially, but so too are the business and financial risks as the number of data protection and privacy regulations grows internationally.
Join this webinar to learn more about:
- Trends in modern privacy regulations
- The impact on organizations to protect and use sensitive data
- Data privacy principles
- The impact of General Data Protection Regulation (GDPR) and data transfer between US and EU
- The evolving CCPA, the new PCI DSS version 4 and new international data privacy laws or regulations
- Data privacy best practices, use cases and how to control sensitive personal data throughout the data life cycle
Nov 2 security for blockchain and analytics ulf mattsson 2020 nov 2bUlf Mattsson
Blockchain
- What is Blockchain?
- Blockchain trends
Emerging data protection techniques
- Secure multiparty computation
- Trusted execution environments
- Use cases for analytics
- Industry Standards
Tokenization
- Convert a digital value into a digital token
- Tokenization local or in a centralized model
- Tokenization and scalability
Cloud
- Analytics in Hybrid cloud
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.
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.
How to protect privacy sensitive data that is collected to control the corona...Ulf Mattsson
In Singapore, the Government launched an app using short-distance Bluetooth signals to connect one phone using the app with another user who is close by. It stores detailed records on a user's phone for 21 days decrypt the data if there is a public health risk related to an individual's movements.
China used a similar method to track a person's health status and to control movement in cities with high numbers of coronavirus cases. Individuals had to use the app and share their status to be able to access public transportation.
The keys to addressing privacy concerns about high-tech surveillance by the state is de-identifying the data and giving individuals control over their own data. Personal details that may reveal your identity such as a user's name should not be collected or should be protected with access to be granted for only specific health purposes, and data should be deleted after its specific use is no longer needed.
We will discuss how to protect privacy sensitive data that is collected to control the coronavirus outbreak.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.