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

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider with every piece of information included in that context window. The data ...

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

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 ...

Terminal B reports that Microsoft highlights the risk of "privilege creep" in AI access, urging a Zero Trust approach to ...

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 ...

Artificial intelligence’s rapid evolution exposes weaknesses in legacy government security models built for a different era.

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, ...

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.

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 ...