The book is a compilation of authoritative perspectives on General Data Protection Regulation (GDPR) of experts from Industry, Law (EU and US), Academia, Banks, Cyber Security, Digital Forensics, eDiscovery, Investigations, and Cyber Insurance.
The book is a compilation of authoritative perspectives on General Data Protection Regulation (GDPR) of experts from Industry, Law (EU and US), Academia, Banks, Cyber Security, Digital Forensics, eDiscovery, Investigations, and Cyber Insurance.
Amie Taal is an internationally regarded expert in Forensic Investigations, Cyber Security, eDiscovery, Data Analytics and Artificial Intelligence. A former Vice President at Deutsche Bank, Amie has built a career in Europe, Africa, Middle East, Asia and United States helping companies identify and respond to technology incidents, litigation matters, information risk, data privacy issues and dealing with civil and criminal investigations within the public and private sector including the Big 4, financial services and non-financial organisations. Amie is also a specialist in data privacy and provides internal and external training on GDPR practice and procedures, legal and regulations rules and evidence handling procedures. In addition to the above, Amie is a public speaker and a university lecturer in the postgraduate space teaching IT and Internet Law, evidence handle procedures, data privacy, AI and Cyber Security. She has also published many papers in this space as a subject matter expect.
Inhaltsangabe
1. Introduction 2. The Algorithm in the C-Suite: Applying Lessons Learned and Information Governance Best Practices to Achieve Greater Post-GDPR Algorithmic Accountability 3. Cyber Insurance and Technology Innovation 4. A Proposal for Multiple Instance Learning Framework Application to Protect Data Access Rights under General Data Protection Regulation (GDPR) 5. Social Media and Data Privacy 6. US Litigators, Does Your Discovery Include EU Data? Strategic, Legal and Technical Considerations under GDPR 7. The GDPR So Far: Implications for Information Governance, eDiscovery, and Privacy by Design 8. The Business Opportunities of GDPR 9. Executing Streamlined and Cost-Effective Investigations Across Disparate Data Sources 10. Existing and Emerging Biometric Data Technologies 11. The Intersection of GDPR, U.S. Discovery and Technology in the Financial Crime Discipline 12. The Human Cultural and Behavioural Factor in Data Privacy 13. eDiscovery under the GDPR - Can Portable Solutions Provide Needed Innovation?
1. Introduction 2. The Algorithm in the C-Suite: Applying Lessons Learned and Information Governance Best Practices to Achieve Greater Post-GDPR Algorithmic Accountability 3. Cyber Insurance and Technology Innovation 4. A Proposal for Multiple Instance Learning Framework Application to Protect Data Access Rights under General Data Protection Regulation (GDPR) 5. Social Media and Data Privacy 6. US Litigators, Does Your Discovery Include EU Data? Strategic, Legal and Technical Considerations under GDPR 7. The GDPR So Far: Implications for Information Governance, eDiscovery, and Privacy by Design 8. The Business Opportunities of GDPR 9. Executing Streamlined and Cost-Effective Investigations Across Disparate Data Sources 10. Existing and Emerging Biometric Data Technologies 11. The Intersection of GDPR, U.S. Discovery and Technology in the Financial Crime Discipline 12. The Human Cultural and Behavioural Factor in Data Privacy 13. eDiscovery under the GDPR - Can Portable Solutions Provide Needed Innovation?
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