GDPR

The 4 Ps of leveraging data privacy for enhanced investment

With the emergence of new regulatory frameworks like GDPR and the California Consumer Privacy Act, a greater understanding and protection of the oil running the engine has become top priority for companies of all sizes and industries. Just as financial information and cyber risk realities have long required organizations to employ accountants and cybersecurity professionals to…


With the emergence of new regulatory frameworks like GDPR and the California Consumer Privacy Act, a greater understanding and protection of the oil running the engine has become top priority for companies of all sizes and industries. 

Just as financial information and cyber risk realities have long required organizations to employ accountants and cybersecurity professionals to conduct frequent audits and implement proactive monitoring, data privacy now requires a unique level of organizational data diligence, in addition to the appointment of personnel such as data protection officers (DPOs) to serve as advocates for the plethora of consumer and employee data companies collect, store and manage. 

  • Data privacy: will it be as in vogue as it was in 2018?
  • Regulation and compliance: staying secure in the face of increasing threats to privacy
  • Data Privacy is having its day

Regulations are hindering M&A and investment momentum

While responsible handling of consumer and employee information and greater overall understanding of organizational assets, which in turn, can be used to enhance business processes, represent the positive effects of enhanced privacy regulation, a concerning trend is the impact frameworks like GDPR are having on M&A activity. Recent research shows over half (55 percent) of M&A professionals have had deals fall through due to concerns over GDPR and target firms’ data practices, and 66 percent of those M&A professionals believe GDPR will increase acquirers’ scrutiny of data protection policies and processes of target firms. 

Examples abound for how a lack of data privacy due diligence can lead to disastrous M&As, not to mention steep fines and public fallout. Starwood’s compromised database and ensuing acquisition by Marriott, for instance, demonstrates how even the world’s largest hotel ch

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GDPR

GDPR wasn’t designed for AI and that’s a security problem

The Security Think Tank explores the intersection of GDPR and artificial intelligence, considering how data protection standards in the UK and Europe are changing in this new paradigm…

The Security Think Tank explores the intersection of GDPR and artificial intelligence, considering how data protection standards in the UK and Europe are changing in this new paradigm…
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GDPR

When the intern has admin rights: GDPR in the agentic age

The Security Think Tank explores the intersection of GDPR and artificial intelligence, considering how data protection standards in the UK and Europe are changing in this new paradigm…

The Security Think Tank explores the intersection of GDPR and artificial intelligence, considering how data protection standards in the UK and Europe are changing in this new paradigm…
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GDPR

Nigel Farage wants to scrap ‘suffocating’ UK GDPR

Reform UK’s leader proposes ‘light-touch’ alternative, although rival politicians say plans are sparsely detailed and inconsistent with reality…

Reform UK’s leader proposes ‘light-touch’ alternative, although rival politicians say plans are sparsely detailed and inconsistent with reality…
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GDPR

Tech Tuesday: Data privacy and synthetic data generation tools

Data has become simultaneously the most valuable asset most organisations own and the most heavily regulated one. GDPR fines exceeded €4.5 billion cumulatively by early 2026. The EU AI Act’s classification of training data quality as a high-risk system requirement has made data provenance a legal obligation rather than a best practice…

Data has become simultaneously the most valuable asset most organisations own and the most heavily regulated one. GDPR fines exceeded €4.5 billion cumulatively by early 2026. The EU AI Act’s classification of training data quality as a high-risk system requirement has made data provenance a legal obligation rather than a best practice…
Read More

Continue Reading