Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

Growing concerns over data breaches and intrusive surveillance have spurred a significant shift in consumer behaviour in recent years. As online privacy becomes increasingly critical in daily life, ma ...

Last week, I discussed how large language models (LLMs) and Agentic AI are poised to disrupt traditional enterprise software by leveraging ambient data—the passive, pervasive data that used to reside ...

Fortune 500 cybersecurity exec and CISO at Concentric AI, advising boards on data risk, ransomware resiliency and AI-era security. Artificial intelligence changed how decisions are made. Quantum ...

The National Institute of Standards and Technology (NIST) has finalized its guidelines for evaluating differential privacy to help organizations share and analyze large datasets while protecting ...