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.
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
For more information visit https://brightpay.co.uk
All organisations, regardless of size, will have had to introduce or update existing policies regarding personal data in order to comply with the new regulations.
This webinar will look at the GDPR, how it may affect your business and what we have learned from the GDPR 5 months on. We will also have a look at how BrightPay can help your organisation utilise the new regulations for the benefit of you, your customers and youremployees.
Essentially, GDPR is an overhaul of the way we process, manage and store individual’s personal data, and that includes your employee’s personal payroll and HR information. We will take you through the impact of GDPR on your payroll processing, highlighting the biggest areas of concern including emailing payslips, employee consent and your legal obligations with regards to payroll, HR and Employment law.
The webinar will include a demonstration of how our BrightPay Connect add-on can help you work towards GDPR compliance by offering remote online access to accountants, employers and employees. We will take a brief look at our Bright Contracts software, which as well as providing the user with the facility to create and customise Contracts of Employment and Company Handbooks, now has a new feature which enables the user to create an Employee Privacy Policy which is a requirement under GDPR.
We will also unveil our new timesheet rapid input feature. Our exciting new timesheet feature directly connects to the BrightPay payroll and allows clients to import timesheet hours from a CSV or directly input hours for each employee on the BrightPay connect employer dashboard. For accountants and payroll bureaus, clients can easily use the timesheet upload for rapid input of employee’s hours eliminating possible errors. The timesheet feature also allows bureaus to easily run the payroll before sending it back to your payroll client for final approval and validation.
Do You Have a Roadmap for EU GDPR Compliance?Ulf Mattsson
The General Data Protection Regulation (GDPR) goes into effect in 2018 and it will affect any business that handles data, even if it's not based in the European Union.Are you looking to move and host data for EU citizens? Do you have a roadmap and associated estimated costs for EU GDPR compliance?Join this webinar to learn:
• Case study and legal/regulatory impact to GDPR• Security Metrics• Oversight of third parties• How to measure cybersecurity preparedness
Presenters : Ulf Mattsson, David Morris, Ian West. and Khizar Sheikh
Date & Time : Aug 17 2017 5:00 pm
Timezone : United States - New York
Understanding the EU's new General Data Protection Regulation (GDPR)Acquia
In 2016, the European Union (EU) approved its General Data Protection Regulation (GDPR) to protect European citizens’ data. As a regulation, the GDPR does not require the implementation of legislation, and will immediately become an applicable law as of the 25th of May, 2018.
What is GDPR exactly trying to accomplish? According to the official documents, the goal is the “protection of natural persons with regard to the processing of personal data and on the free movement of such data.”
In short, organizations that conduct business in the EU will need to be compliant with GDPR, and must come to terms with the huge fines that non-compliance can carry. Fines can be up to €20M or 4% of the annual turnover. For companies that experience breaches that result in the loss of personal data (such as Talk Talk, which lost 170,000 people’s data), the fines will be tremendous.
Join us for discussion about GDPR to learn more about:
The principles that organizations that use personal data need to adhere to
The consequences organizations can face if that do not adhere to this new regulation
How your organization can prepare for the future
Ensuring GDPR Compliance - A Zymplify GuideZymplify
The GDPR will come into force on 25 May 2018 and will change data protection laws across the EU. Organisations can face heavy fines if they are found to be in breach of the GDPR, so take a look at Zymplify's guide to the most important parts of the regulation. Act now to get ready for the GDPR. Book a Demo with Zymplify - http://d36.co/12vWD
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
For more information visit https://brightpay.co.uk
All organisations, regardless of size, will have had to introduce or update existing policies regarding personal data in order to comply with the new regulations.
This webinar will look at the GDPR, how it may affect your business and what we have learned from the GDPR 5 months on. We will also have a look at how BrightPay can help your organisation utilise the new regulations for the benefit of you, your customers and youremployees.
Essentially, GDPR is an overhaul of the way we process, manage and store individual’s personal data, and that includes your employee’s personal payroll and HR information. We will take you through the impact of GDPR on your payroll processing, highlighting the biggest areas of concern including emailing payslips, employee consent and your legal obligations with regards to payroll, HR and Employment law.
The webinar will include a demonstration of how our BrightPay Connect add-on can help you work towards GDPR compliance by offering remote online access to accountants, employers and employees. We will take a brief look at our Bright Contracts software, which as well as providing the user with the facility to create and customise Contracts of Employment and Company Handbooks, now has a new feature which enables the user to create an Employee Privacy Policy which is a requirement under GDPR.
We will also unveil our new timesheet rapid input feature. Our exciting new timesheet feature directly connects to the BrightPay payroll and allows clients to import timesheet hours from a CSV or directly input hours for each employee on the BrightPay connect employer dashboard. For accountants and payroll bureaus, clients can easily use the timesheet upload for rapid input of employee’s hours eliminating possible errors. The timesheet feature also allows bureaus to easily run the payroll before sending it back to your payroll client for final approval and validation.
Do You Have a Roadmap for EU GDPR Compliance?Ulf Mattsson
The General Data Protection Regulation (GDPR) goes into effect in 2018 and it will affect any business that handles data, even if it's not based in the European Union.Are you looking to move and host data for EU citizens? Do you have a roadmap and associated estimated costs for EU GDPR compliance?Join this webinar to learn:
• Case study and legal/regulatory impact to GDPR• Security Metrics• Oversight of third parties• How to measure cybersecurity preparedness
Presenters : Ulf Mattsson, David Morris, Ian West. and Khizar Sheikh
Date & Time : Aug 17 2017 5:00 pm
Timezone : United States - New York
Understanding the EU's new General Data Protection Regulation (GDPR)Acquia
In 2016, the European Union (EU) approved its General Data Protection Regulation (GDPR) to protect European citizens’ data. As a regulation, the GDPR does not require the implementation of legislation, and will immediately become an applicable law as of the 25th of May, 2018.
What is GDPR exactly trying to accomplish? According to the official documents, the goal is the “protection of natural persons with regard to the processing of personal data and on the free movement of such data.”
In short, organizations that conduct business in the EU will need to be compliant with GDPR, and must come to terms with the huge fines that non-compliance can carry. Fines can be up to €20M or 4% of the annual turnover. For companies that experience breaches that result in the loss of personal data (such as Talk Talk, which lost 170,000 people’s data), the fines will be tremendous.
Join us for discussion about GDPR to learn more about:
The principles that organizations that use personal data need to adhere to
The consequences organizations can face if that do not adhere to this new regulation
How your organization can prepare for the future
Ensuring GDPR Compliance - A Zymplify GuideZymplify
The GDPR will come into force on 25 May 2018 and will change data protection laws across the EU. Organisations can face heavy fines if they are found to be in breach of the GDPR, so take a look at Zymplify's guide to the most important parts of the regulation. Act now to get ready for the GDPR. Book a Demo with Zymplify - http://d36.co/12vWD
MWLUG - 2017
Tim Clark & Stephanie Heit
Tim & Steph explain the basics of GDPR and give some recommendations about what you can do to be ready.
Data sources are in the final slides.
For more information about how BCC can help you get your Domino data ready for GDPR please contact us here.
http://bcchub.com/bcc-domino-protect/
The European General Data Protection Regulation (GDPR) will come into effect in May 2018 and it will impact all organizations that store or process personal data of EU citizens. The European Commission is exporting European data protection principles to the rest of the world while widening the definition of personal data and enforcing privacy by design. These changes will not only have an impact on the organizations but also on the software which is used for data processing. How does it affect the Hadoop ecosystem?
Distributed data processing at scale is one of Hadoop’s core features and we will explore how the GDPR could potentially affect it. We will also take a look at the technical aspects of the rights of data subjects and see if and how we can address those, with a particular focus on open-source technologies.
This talk will give you an overview of the key themes of the GDPR including the rights of the data subject and will investigate the technical implications for data processing within the Hadoop ecosystem.
Full GDPR toolkit: https://quality.eqms.co.uk/gdpr-general-data-protection-regulation-eu-toolkit
This free online training presentation provides you with information about how to comply with the General Data Protection Regulation, managing breaches, engaging employees, key requirements and more.
How GDPR works : companies will be expected to be
fully compliant from 25 May 2018. The regulation
is intended to establish one single set of data
protection rules across Europe
Even though GDPR is a European Union regulation, it impacts any company with customers in that region. One of the first key tasks of the data management team should be to create awareness regarding the impact of GDPR on the business with all key stakeholders across the organization. In order to generate awareness, organizations need to have clearly defined documentation defining the policies, rules, requirements and the impact of non-compliance. Kim Brushaber will look at what is involved with GDPR, what you should be concerned with, and how to get the conversation started between the business and technical teams within your organization using ER/Studio.
GDPR Guide: The ICO's 12 Recommended Steps To Take NowHackerOne
Recommendations from The United Kingdom's Information Commissioner's Office (ICO) to Prepare for May 2018.
The European General Data Protection Regulation, better known as GDPR, will take effect on May 25, 2018. When it does, every business, organization, or government agency that collects information on European Union (EU) citizens (in other words, just about everyone) will be forced to radically change how it manages customer data and security. If you don’t, the cost of noncompliance is significant: fines can reach up to €20M ($23.5M) or 4 percent of annual sales, whichever is higher.
Key highlights of the General Data Protection Regulation (GDPR), which organisations will need to consider when preparing for its coming into force on 25 May 2018.
GDPR The New Data Protection Law coming into effect May 2018. What does it me...eHealth Forum
GDPR The New Data Protection Law coming into effect May 2018. What does it mean for hospitals?
Anthe Papageorgiou, Compliance Officer & Data Protection Officer at Henry Dunant Hospital Center
Preparing for GDPR: What Every B2B Marketer Must KnowIntegrate
Considering the consequences of non-compliance (up to €20M/$24M or 4% worldwide annual revenue), this translates to a major problem for B2B marketers.
How can your team ensure its lead gen processes are GDPR-compliant without undermining demand generation performance?
View this deck to see how Julian Archer (Sr. Research Director, SiriusDecisions) and Scott Vaughan (CMO, Integrate) educate B2B marketers on: developing a comprehensive GDPR compliance strategy, putting your compliance strategy into action, and applying software to support your compliance measures.
To watch the on-demand version of the webinar, click here:
https://www.integrate.com/gdpr-compliance-b2b-marketing-webinar
General Data Protection Regulation (GDPR) - Moving from confusion to readinessOmo Osagiede
This GDPR primer highlights key aspects of the new EU regulation regarding the protection of EU citizens data. It also presents a basic approach and key activities for GDPR preparedness. Useful as a discussion starter with senior management.
The European Union (EU) is implementing GDPR (General Data Protection Regulation) on May 25, 2018. Organizations who offer goods or services to EU residents or monitor the behavior of EU residents must comply, or they may incur significant financial penalties. Are you ready? Time is running out to ensure you comply with the new requirements.
In this webinar presentation, Dean Evans, Satori Consulting to learn what the GDPR requirements mean for your organization, plus get a practical guide to achieving GDPR readiness including how to implement processes to satisfy the privacy rights of individuals. Dean will cover:
=> What is GDPR?
=> Common GDPR misconceptions
=> Key considerations
=> How to develop a plan of action
=> Process owners as data stewards
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.
Do You Have a Roadmap for EU GDPR Compliance? ArticleUlf Mattsson
GDPR is Top Priority in US
Over half of US multinationals say GDPR is their top data- protection priority according to PWC. Of the 200 respondents, 54 % reported that GDPR readiness is the highest priority on their data-privacy and security agenda. Another 38% said GDPR is one of several top priorities, while only 7% said it isn’t a top priority.
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
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
MWLUG - 2017
Tim Clark & Stephanie Heit
Tim & Steph explain the basics of GDPR and give some recommendations about what you can do to be ready.
Data sources are in the final slides.
For more information about how BCC can help you get your Domino data ready for GDPR please contact us here.
http://bcchub.com/bcc-domino-protect/
The European General Data Protection Regulation (GDPR) will come into effect in May 2018 and it will impact all organizations that store or process personal data of EU citizens. The European Commission is exporting European data protection principles to the rest of the world while widening the definition of personal data and enforcing privacy by design. These changes will not only have an impact on the organizations but also on the software which is used for data processing. How does it affect the Hadoop ecosystem?
Distributed data processing at scale is one of Hadoop’s core features and we will explore how the GDPR could potentially affect it. We will also take a look at the technical aspects of the rights of data subjects and see if and how we can address those, with a particular focus on open-source technologies.
This talk will give you an overview of the key themes of the GDPR including the rights of the data subject and will investigate the technical implications for data processing within the Hadoop ecosystem.
Full GDPR toolkit: https://quality.eqms.co.uk/gdpr-general-data-protection-regulation-eu-toolkit
This free online training presentation provides you with information about how to comply with the General Data Protection Regulation, managing breaches, engaging employees, key requirements and more.
How GDPR works : companies will be expected to be
fully compliant from 25 May 2018. The regulation
is intended to establish one single set of data
protection rules across Europe
Even though GDPR is a European Union regulation, it impacts any company with customers in that region. One of the first key tasks of the data management team should be to create awareness regarding the impact of GDPR on the business with all key stakeholders across the organization. In order to generate awareness, organizations need to have clearly defined documentation defining the policies, rules, requirements and the impact of non-compliance. Kim Brushaber will look at what is involved with GDPR, what you should be concerned with, and how to get the conversation started between the business and technical teams within your organization using ER/Studio.
GDPR Guide: The ICO's 12 Recommended Steps To Take NowHackerOne
Recommendations from The United Kingdom's Information Commissioner's Office (ICO) to Prepare for May 2018.
The European General Data Protection Regulation, better known as GDPR, will take effect on May 25, 2018. When it does, every business, organization, or government agency that collects information on European Union (EU) citizens (in other words, just about everyone) will be forced to radically change how it manages customer data and security. If you don’t, the cost of noncompliance is significant: fines can reach up to €20M ($23.5M) or 4 percent of annual sales, whichever is higher.
Key highlights of the General Data Protection Regulation (GDPR), which organisations will need to consider when preparing for its coming into force on 25 May 2018.
GDPR The New Data Protection Law coming into effect May 2018. What does it me...eHealth Forum
GDPR The New Data Protection Law coming into effect May 2018. What does it mean for hospitals?
Anthe Papageorgiou, Compliance Officer & Data Protection Officer at Henry Dunant Hospital Center
Preparing for GDPR: What Every B2B Marketer Must KnowIntegrate
Considering the consequences of non-compliance (up to €20M/$24M or 4% worldwide annual revenue), this translates to a major problem for B2B marketers.
How can your team ensure its lead gen processes are GDPR-compliant without undermining demand generation performance?
View this deck to see how Julian Archer (Sr. Research Director, SiriusDecisions) and Scott Vaughan (CMO, Integrate) educate B2B marketers on: developing a comprehensive GDPR compliance strategy, putting your compliance strategy into action, and applying software to support your compliance measures.
To watch the on-demand version of the webinar, click here:
https://www.integrate.com/gdpr-compliance-b2b-marketing-webinar
General Data Protection Regulation (GDPR) - Moving from confusion to readinessOmo Osagiede
This GDPR primer highlights key aspects of the new EU regulation regarding the protection of EU citizens data. It also presents a basic approach and key activities for GDPR preparedness. Useful as a discussion starter with senior management.
The European Union (EU) is implementing GDPR (General Data Protection Regulation) on May 25, 2018. Organizations who offer goods or services to EU residents or monitor the behavior of EU residents must comply, or they may incur significant financial penalties. Are you ready? Time is running out to ensure you comply with the new requirements.
In this webinar presentation, Dean Evans, Satori Consulting to learn what the GDPR requirements mean for your organization, plus get a practical guide to achieving GDPR readiness including how to implement processes to satisfy the privacy rights of individuals. Dean will cover:
=> What is GDPR?
=> Common GDPR misconceptions
=> Key considerations
=> How to develop a plan of action
=> Process owners as data stewards
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.
Do You Have a Roadmap for EU GDPR Compliance? ArticleUlf Mattsson
GDPR is Top Priority in US
Over half of US multinationals say GDPR is their top data- protection priority according to PWC. Of the 200 respondents, 54 % reported that GDPR readiness is the highest priority on their data-privacy and security agenda. Another 38% said GDPR is one of several top priorities, while only 7% said it isn’t a top priority.
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
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
General Data Protection Regulation (GDPR) tidal wave that has hit, are you ready? Is your organization prepared for the extensive privacy requirements GDPR puts forth for any organization handling EU Data Subjects' personal Data? At this point, organizations must have a complete inventory of personal data and have conducted a DPIA against it. A handful of supervisory authorities have issued compliance guidelines, but your organizations must be able to assess compliance with this ambiguous regulation at any time.
Many aspects of GDPR define the distinction between a data collector and a data processor, their respective responsibilities and compliance requirements. Those responsibilities will have an effect on the contracts you negotiate with third parties, the way in which you evaluate the risks involved with establishing a business relationship and the policies you develop to maintain compliance to the regulations.
Join this webinar to learn:
*More information about GDPR and what the industry is experiencing to date
*What minimum requirements you should have had in place by May 25, 2018
*What you should plan to do for the next 12-18 months if you are not completely ready
*What the SEC Privacy Shield program is and why you should self-certify
*How to continuously monitor vendor risk KPIs
GDPR - Top 10 AWS Security and Compliance Best PracticesAhmad Khan
AWS Cloud GDPR challenges solved, this webinar (see our youtube channel). We show you exactly which Articles you need to worry about and how to address the data security using automation and top 10 best practices to implement step by step.
How MongoDB can accelerate a path to GDPR complianceMongoDB
The timeline for compliance with the European Union’s General Data Protection Regulation (GDPR) is fast approaching. To help you ensure you’re prepared, we’re hosting an online discussion in advance of May 25th (when the regulation goes into effect). We’ll cover:
The specific requirements of GDPR
How these map to required database capabilities
How MongoDB can provide the core technology foundations to help organizations accelerate their path to compliance
While 25th of May is coming, more and more myths around and about the GDPR appear. Many of them are considering the cloud as a ‘safe harbor’ from the GDPR requirements. Still, standards of the data protection established by the Regulation will be covering also a personal data which is storaged in the cloud. The legal and organizational steps should be taken in order to ensure compliance of cloud services with the GDPR will be considered.
Data Protection Post-Brexit: Can the UK Craft a Credible New Approach?David Erdos
These slides, based on a talk given to the Society of Legal Scholars’ Conference 2022, finds that the current Data Protection and Digital Information Bill is substantively wide-ranging but not radical. Many of the changes could be considered a plausible gloss on the General Data Protection Regulation (GDPR) or achieve a result which could be justified under its restrictions/derogations clause. Those which go further such as the changes to the solely automated decision-making rights remain well within the parameters of the Data Protection Convention 108+. There is a danger that the Bill’s substantive modifications may be insufficiently innovative to address concerns about the scope and depth of the GDPR’s rules. On the other hand, the Bill’s regulatory changes do little to confront the limited enforcement of data protection and the new de jure flexibility offered to the Information Commissioner may further entrench the existing “soft” supervisory approach.
Privacy by Design and by Default + General Data Protection Regulation with Si...Peter Procházka
My presentation for SUG Hungary presented on 26.06.2018 with topic Privacy by Design and by Default and General Data Protection Regulation with Sitecore
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.
BigID Data Sheet: LGPD Compliance AutomatedBigID Inc
LGPD Compliance Automated:
Brazil's Data Protection Law (Lei Geral de Proteção de Dados or LGPD) establishes both a new set of obligations for companies processing personal data or using the data to provide services in Brazil, as well as a comprehensive set of individual data rights that incorporate explicit consent for specific purposes of processing. At the same time, the law also expands the definition for what data should be protected, including categories of sensitive data that require stronger protection. BigID is the first product to apply identity intelligence and smart correlation to the new privacy protection challenges, enabling companies to prepare, operationalize and automate their path to LGPD compliance
Impact of GDPR on Third Party and M&A SecurityEQS Group
GDPR impact has been dissected and examined to death - however, M&A activities, as well as third-party security posture, can be greatly affected as well, and this aspect has not been very often pursued. This session hopes to be useful for that.
Webcast title : GDPR: Protecting Your Data
Description : Find out why data protection and encryption is an essential component of preparing for your GDPR readiness process.
Specifically, we will cover:
What is considered "Personal Data" and why it needs to be "protected"
The Legal Aspects of Data Protection under GDPR.
The technical ways to protect/pseudonymization
In this Session you will learn from the leading experts:
- Ulf Mattsson: The father of database Encryption.
- Martyn Hope: The Co-Founder of the GDPR Institut.
- Mark Rasch: Former Chief Cybersecurity Evangelist at Verizon and led the DOJ's Cyber Crime Unit.
Presenter : Ulf Mattsson, Martyn Hope, Mark Rasch, David Morris
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)
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
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.
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.
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.
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
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.
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
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
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
-------------------------------------------
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
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.
5. 5
What is Privacy?
Privacy
/ˈprīvəsē/
Definedin Generally AcceptedPrivacyPrinciples (GAPP)as
“therightsandobligationsofindividualsandorganizationswithrespect tothecollection, use, retention,disclosure, and disposal of
personal information.”
16. 16
PrivacyRegulations
Sweden, TheDataAct, a nationaldataprotectionlaw wentinto effectin
1974
India is passinga comprehensivedataprotectionbill that
includeGDPR-likerequirements
Finland's Data ProtectionAct
Japanimplementschangesto domesticlegislationto strengthen
privacy protectionin thecountry
Brazil passinga comprehensivedataprotectionregulation
similarto GDPR
1970, Germany passedthe firstnationaldataprotection
law, firstdataprotectionlaw in the world
TheNew York PrivacyAct wasintroducedin 2019
Source:Forrester
CCPA'simpact is expectedto beglobal
(12+ %), given California'sstatusasthe
fifth largestglobal economy
GDPR'simpactis expectedtobeglobal
19. 19
How Many Privacy Laws Are You Complying With?
Source:IAPP
GeneralDataProtectionRegulation(EU) 2016/679(GDPR)isaregulationin EU lawondataprotectionandprivacyintheEuropeanUnion(EU)
andtheEuropeanEconomic Area(EEA). ItalsoaddressesthetransferofpersonaldataoutsidetheEU and EEA areas.
CaliforniaConsumerPrivacyAct ( CCPA)isabill thatenhancesprivacyrightsandconsumerprotectionforresidents
ofCalifornia,UnitedStates.
By Region
22. 22
Failureto Comply . . .
What are the Consequences ?
• Companies liable fora fine ofup tofourper cent (4%) oftheir global turnover with a maximum fine of~$25Million USD. This is for non-compliance with no
data breach!
• The principles ofprotection should apply toany information concerning an identified or identifiable person.
• To determine whether a person is identifiable, account should betaken of allthe means likely reasonably to beused either by the controller orby any
other person toidentify the individual.
• Theprinciples of dataprotection should notapplytodata rendered anonymous in such a way that the datasubject is no longer identifiable.
Why What How
23. 23
GDPR — Data ProtectionPrinciples(Article5)
• Personal data shall beprocessed lawfully, fairly and in a transparent mannerinrelation to the data subject
• Collected for specified, explicit and legitimate purposes only
• Adequate, relevant and limited to what is necessary in relation to thepurposes for which theyareprocessed (‘data minimization’)
• Accurateand, wherenecessary, kept up to date, erased or rectified without delay
• Kept ina form whichpermits identification of data subjects for nolonger than is necessary for thepurposes for which the personal data
are processed
• Processed in a mannerthat ensures appropriate security of the personal data
88Pages(99Articles) of Detailed DataProtectionRequirements
24. 24
GDPR under "SchremsII"
• No transfer of data but nevertheless a riskof access by U.S. authorities because the EU-basedprocessor is a subsidiaryof a U.S. company.
• Thehosting of health data by a company bound byU.S. law was incompatible with theGDPR under"SchremsII"and violated the provisions of the
GDPR, due on the one hand, to the possibility of a transfer to the U.S. of the data collected by Doctolib throughits processor, and on the other
hand,even in theabsence of data transfer, to the risk of access requests by U.S. authorities to the processor, AWS.
• Thecourtnoted for the purposes of hosting its data, Doctolib uses the services of the Luxemburg companyAWSSarl, the data is hosted in data
centers located in France and in Germany, and the contract concluded between Doctolib and AWSSarl does not provide for the transfer of
datato the U.S.
• However, because it is a subsidiary of a companyunderU.S. law, the court considered AWS Sarl inLuxemburg maybe subject to access requests
byU.S.authorities in the frameworkof U.S. monitoringprograms based on Article702of the Foreign IntelligenceSurveillanceAct or Executive
Order 12333.
• Conseil considered that the level of protection offered was sufficient due to the manysafeguards
https://iapp.org/news/a/why-this-french-court-decision-has-far-reaching-consequences-for-many-businesses/
25. 25
GDPR under "SchremsII"
Conseil considered that the level of protection offered was sufficient due to the manysafeguards inplace, which are thefollowing.
Legal safeguards:
• Thejudgenoted the contract concluded between Doctolib and AWSSarl provides for a specific procedure in theevent of an access request by a foreign
authority; notably, AWS Sarl guarantees in its contract with Doctolib that it will challenge anygeneral access request from a public authority.
Technicalsafeguards:
• Thejudgealso noted technically the data hosted by AWS Sarl is encrypted and the keyis held by a trusted third party in France,not by AWS, to prevent data
from being read by third parties.
Other guaranteestaken:
• No health data: Thecourt also took into accountthat contraryto what was alleged by the plaintiffs, data transmitted to Doctolib within the frameworkof
the vaccination campaign does not concerninformation onthe reason whytheperson is eligible in priority for vaccination becauseof a specific pathology.
Thedata hosted relates only to the identification of individuals for the purpose of makingappointments.
• Data is deleted after threemonths
https://iapp.org/news/a/why-this-french-court-decision-has-far-reaching-consequences-for-many-businesses/
27. 27
Organizations needs to look at how the datawas captured,whois accountable for it, where it islocated and who has
access.
Data Flow MappingUnder GDPR
• If there is not already a documented workflow in place in yourorganization,it can be worthwhile for a team tobe sent out toidentify how the data
is being gathered.
• This willenable you tosee how your data flow is different from reality and what needs tobedone
Source:BigID
33. 33
The CCPA Effect
California Privacy Rights Act (CPRA)
1. On November 3, 2020, Californians voted to approve Proposition 24, a ballot measure
that creates the California Privacy Rights Act (CPRA).
2. The CPRA amends and expands the California Consumer Privacy Act (CCPA).
3. Most of the CPRA’s substantive provisions will not take effect until January 1, 2023,
providing covered businesses with two years of valuable ramp-up time.
4. Notably, however, the CPRA’s expansion of the “Right to Know” impacts personal
information (PI) collected during the ramp-up period, on or after January 1, 2022.
See https://en.wikipedia.org/wiki/2020_California_Proposition_24
35. 35
PrivacyStandards
11Published InternationalPrivacyStandards(ISO)
Techniques
Management
Cloud
Framework
Impact
Requirements
Process
20889 IS Privacyenhancingde-identificationterminologyandclassificationoftechniques
27701 IS Securitytechniques-ExtensiontoISO/IEC27001 andISO/IEC 27002 forprivacyinformationmanagement -Requirementsand
guidelines
27018 IS CodeofpracticeforprotectionofPIIinpubliccloudsacting as PIIprocessors
29100 IS Privacyframework
29101 IS Privacyarchitectureframework
29134 IS GuidelinesforPrivacyimpactassessment
29190 IS Privacycapabilityassessmentmodel
29191 IS Requirementsforpartiallyanonymous,partiallyunlinkableauthentication
29151 IS CodeofPracticeforPIIProtection
19608 TSGuidancefordevelopingsecurityandprivacyfunctionalrequirementsbasedon15408
27550 TRPrivacyengineeringforsystemlifecycleprocesses
36. 36
Different Data Protection Techniques
Data Store
DynamicMasking
2-way 1-way
FormatPreserving Computingonencrypteddata FormatPreserving
Tokenization
FormatPreserving
Encryption
(FPE)
HomomorphicEncryption
(HE)
Hashing
Static
Masking
DifferentialPrivacy
(DP)
K-anonymityModel
Random Algorithmic NoiseAdded
Fast Slow VerySlow Fast Fast
Fastest
ClearText
SyntheticData
Derivation
Fast
Anonymization
Of Attributes
Pseudonymization
Of Identifiers
37. 37
Example of Use-Cases & DataPrivacy Techniques
37
Vault-less tokenization Masking
Vault-less tokenization
Gateway
CallCenterApplication
PaymentApplication
Payment Data
Policy,Tokenization,Encryptionand
Keys
Salesforce
Payment
Network
SecurityOfficer
Data Warehouse
AnalyticsApplication
PI* Data
PI* Data
DifferentialPrivacy
AndK-anonymity
Dev/testSystems
PI* Data
VotingApplication
ElectionData
MicrosoftElectionGuard
39. 39
Randomized Tokenization
Data Store
DynamicMasking
2-way
FormatPreserving Computingonencrypteddata
Tokenization
FormatPreserving
Encryption
(FPE)
HomomorphicEncryption
(HE)
Random Algorithmic
Fast Slow VerySlow
Fastest
ClearText
Pseudonymization
Of Identifiers
Quantum Computers?
• Quantum computers and other strong
computers can break algorithms and patterns
in encrypted data.
• We can instead use random numbers to secure
sensitive data.
• Random numbers are not based on an
algorithm or pattern that computers can break.
Tech giants are building their own machines and
speeding to make them available to the world as a
cloud computing service. In the competition: IBM,
Google, Microsoft, Intel, Amazon, IonQ, Quantum
Circuits, Rigetti Computing
42. 42
Original Data
Fully Synthetic Data
Partially Synthetic Data
Artificially generated
new data points
Artificially generated
new data points
Synthetic Data
43. 43
6 Differential PrivacyModels
In differential privacy,the
concern is about privacyas
the relative difference in the
result whether aspecific
individual or entity is
includedin the input or
excluded
Random Differential Privacy
Probabilistic Differential Privacy
Concentrated Differential
Privacy
Approximate Differential Privacy
Computational Differential
Privacy
Multiparty Differential Privacy
Noiseisverylow.
Usedinpractice.
Moreusefulanalysiscanbeperformed.
Well-studied.
Widelyused
Canensuretheprivacyofindividualcontributions.
Aggregationisperformedlocally.
Strongdegreeofprotection.
Highaccuracy
Apuremodelprovidesprotectionevenagainstattackers withunlimitedcomputationalpower.
Canleadtounlikelyoutputs.
Tailoredtolargenumbersofcomputations.
44. 44
Area Timing Focus Comments Use Case: Bank
Requirements Short Internal requirements International regulations
Cloud Short Machine Learning Startwithbasic ML trainingand inference on sensitivedata in cloud
Competition Short Competitive advantage MLand NLP-powered servicescan give banks a competitiveedge
Data
Short Encrypted data Important
Long Synthetic data Computing cost?
Analytics
Medium AML/KYC Whatare otherLarge banks doing?
Short Analytics Initial focus
Short Operational on encrypted data Computing on sensitivedata tothe cloud. Trade-offswithperformance, protection and utility?
Industry Short Industry dialog Workinggroups instandard bodies (ANSI X9, Cloud Security Alliance,Homomorphic Encryption Org)
Model Short Encrypted model Important
Pilot
Short Experimentation Whatare otherLarge banks doing?
Short ScotiaBankCase Study QuerysolutionforAML/KYC
Proven Medium Fastfollower Whatare some proven solutions?
Quantum
Short Homomorphic Encryption post-
Lattice-basedcryptography isa promising post-quantumcryptography family,both in termsof foundational propertiesaswell as itsapplicationto both traditionaland homomorphic
encryption
Medium Quantum Plan forquantum safealgorithms
Long Quantum Plan forquantum MLalgorithms
Sharing Short Secure Multi-partyComputing (SMPC)
Withoutrevealingtheir ownprivateinputsand outputs. Encrypteddata and encryptionkeys never comingledwilecomputationon the encrypted dataisoccurringor an encryption key is
splitintoshares
Solutions
Short Vendor positioning
Nonlinear MLregressionneeded? LinearRegressionisone of the fundamental supervised-ML. Linearand non-linearcreditscoring by combininglogisticregressionand support vector
machines
Short Frameworkintegration Important
3rd Party Long 3rd party integration Miningfirst
TrainingML
Long Federated learning Complicated
Long TEE Emerging
45. 45
Data Protection Techniques:Deploying On-premisesand Clouds
Privacy enhancing data de-identification terminology
and classification of technique
DataWarehouse Centralized Distributed On-premises PublicCloud PrivateCloud
De-identification
techniques
Tokenization
Vault-basedtokenization Y Y
Vault-lesstokenization Y Y Y Y Y Y
Cryptographic Tools
Format preservingencryption Y Y Y Y Y
Homomorphic encryption Y Y Y
Suppression techniques
Masking Y Y Y Y Y Y
Hashing Y Y Y Y Y Y
Formalprivacy
measurementmodels
DifferentialPrivacy
ServerModel Y Y Y Y Y Y
LocalModel Y Y Y Y Y Y
K-anonymity model
L-diversity Y Y Y Y Y Y
T-closeness Y Y Y Y Y Y
46. 46
Example of Cross Border Data-centric Securityusing tokenization
SecurityOfficer
• ProtectingPersonally Identifiable Information (PII), includingnames,
addresses,phone,email, policyand accountnumbers
• Compliance with EU CrossBorderDataProtectionLaws
• UtilizingDataTokenization, andcentralizedpolicy, key management,
auditing,and reporting
Data
Warehouse
Completepolicy-enforcedde-
identificationofsensitivedata
acrossall bankentities
DataSources
AustrianData
GermanData
OtherSource
Data
Austrian
Data
German
Data
Other
Source
Data
53. 53
Protection of Data in AWS S3 with Separation of Duties
Protect data before
landing
Enterprise
Policies
Appsusingde-identified
data
Sensitivedatastreams
Enterprise
on-prem
Data lifted to S3 is
protected before use
S3
SecurityOfficer
• Applications can use de-identified
data ordata in the clear based on
policies
• Protection ofdata in AWS S3 before
landing in a S3 bucket
PolicyEnforcementPoint(PEP)
Separation of Duties
EncryptionKeyManagement
54. 54
Big Data Protection with GranularFieldLevel Protection for Google
Cloud Protectionthroughout the lifecycleof data in Hadoop
BigData Protectortokenizes or
encryptssensitivedata fields
Enterprise
Policies
Policiesmaybe managedon-
premorGoogleCloudPlatform
(GCP)
PolicyEnforcementPoint
Protecteddatafields
U
Separation of Duties
EncryptionKeyManagem.
Security Officer
55. 55
Multi-Cloud Considerations
Source:Securosis,2019
Consistency
• Mostfirmsarequitefamiliarwiththeiron-premises encryptionand key
managementsystems,sotheyoftenprefertoleveragethe same tooland
skills across multipleclouds.
• Firmsoftenadopta “best of breed”cloud approach.
Trust
• Some customerssimplydo nottrusttheirvendors.
Vendor Lock-in and Migration
• A commonconcern is vendorlock-in, andan inabilitytomigratetoanothercloud
serviceprovider.
• Some nativecloudencryptionsystemsdo not allow customer keys to move outside
the system, andcloudencryptionsystemsare basedonproprietaryinterfaces.
• Thegoal is to maintainprotection regardless of where data resides, moving between
cloud vendors.
Cloud Gateway
Google Cloud AWS Cloud Azure Cloud