WISN 12 News on MSN

Microsoft, Google and xAI will let the government test their AI models before launch

Google, Microsoft and xAI will share unreleased versions of their AI models with the government to curb cybersecurity threats ...

The Real AI Security Risk Isn't Data Leakage. It's What Your Agents Can Do

Agentic AI has moved the threat boundary inside the enterprise. Mindgard's Aaron Portnoy explains why authority, not access, ...
Hosted on MSN

Red Hat launches AI 3.4 with focus on governance and scale

Major platform update: AI 3.4 adds model-as-a-service, distributed inference, and observability to manage AI agents across diverse environments. Governance emphasis: Centralized access controls, ...
TMCnet

NetSentries Announces General Availability of AI-Augmented Security Testing

NetSentries today announced the general availability of AI-augmented security testing capabilities across its expert-led ...
Cloud Security Alliance

The Catastrophic Risk Annex: Next Gen AI Security Controls

Learn how the STAR for AI Catastrophic Risk Annex turns extreme AI risks into testable controls, enabling measurable, ...

AI’s Risks to M&A Deals Require Early Planning and Model Testing

Opinion: AI assets should be treated as operationally material technology that requires validation before closing any merger.

Intent-based chaos testing is designed for when AI behaves confidently — and wrongly

Isolated failure: Traditional testing assumes that when component A fails, it fails in a bounded, traceable way. In a ...
Military.com

AI Sleeper Agents and the Military’s Next Trust Problem

How AI sleeper agents could undermine military systems by hiding deceptive behaviors that activate under specific conditions.