It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

Michael Roytman is a former distinguished engineer at Cisco, former chief data scientist at Kenna Security, and a Forbes 30 Under 30. “Essentially, all models are wrong, but some are useful.” —George ...

A new artificial intelligence (AI) data security guidance encourages organizations to secure the data used by AI applications — an important consideration as AI use skyrockets while security lags ...

Database provider Couchbase has unveiled a comprehensive suite of model hosting and data processing capabilities for building, deploying and governing agentic AI applications. By bringing data and ...

AI adoption is exposing a new generation of data security risksIssued by Hyperclear TechJohannesburg, 03 Jun 2026 AI adoption is happening faster than governance and security controls can mature.

The explosive growth of generative AI has created an unprecedented security challenge for enterprises. New research reveals that enterprise AI usage has surged by a staggering 3,000% in just one year, ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

IBM is launching IBM Guardium Data Security Center—allowing organizations to protect data in any environment, throughout its full lifecycle, and with unified controls. IBM Guardium Data Security ...

Chinese AI startup DeepSeek left critical user data and internal secrets unprotected, raising alarms over security risks in the AI industry. A New York-based cybersecurity firm, Wiz, has uncovered a ...

Balancing the paradox of protecting one of the world’s leading travel, software and services businesses against the accelerating threats of AI illustrates why CISOs need to be steps ahead of the ...