AI Security

Why enterprises blame GDPR for an engineering problem they built themselves, and how privacy-ready data architecture actually accelerates AI Key Takeaways: The primary blocker to enterprise AI adoption is poor data architecture, not GDPR or the EU AI Act. Organisations with mature data governance report significantly fewer compliance-related delays in AI projects. Privacy-ready data architecture requires three capabilities: discovery, lineage, and automated classification. Pr

77% of employees use generative AI tools at work, often pasting sensitive data into ChatGPT without realizing the risk. This guide covers five practical steps to prevent data leaks, from policy and training to deploying a privacy gateway that de-identifies PII in real time before prompts leave your environment.

The EU AI Act's most critical enforcement date is less than six months away. On August 2, 2026, the requirements for high-risk AI systems under Annex III become fully enforceable. Penalties for non-compliance can reach up to 35 million euros or 7% of global annual revenue. Yet most enterprises are not ready. According to Gartner, organizations will abandon 60% of AI projects by 2026 due to a lack of AI-ready data. The gap between AI ambition and data readiness has never been

AI in healthcare is expected to play a major role in redefining the way we process healthcare data, diagnose diseases, develop treatments and even prevent them ...