Tim Freestone

AI coding tool flaws highlight the need for data-layer governance, access controls, encryption, and audit logs for AI agents.

Google reported the first confirmed AI-assisted zero-day exploit, raising new concerns about logic flaws, supply chain risk, and containment.

AWS Rex adds runtime guardrails for agentic AI, but security leaders still need data-layer controls to satisfy compliance and audit demands.

AI agents are now being weaponized through prompt injection, exposing why model guardrails are not enough to protect enterprise data.

The MCP flaw reveals a systemic AI security gap, exposing enterprise systems to supply chain attacks and forcing a shift toward data-layer governance.

A newly disclosed vulnerability reveals how AI assistants can become invisible channels for data exfiltration — and why security enforcement must shift to the data layer.

Agentic AI dominated RSAC 2026, but security leaders warn governance is lagging. Here’s why discovery isn’t enough — and where control must evolve.

OpenClaw is already running inside enterprises, often unnoticed. Learn why banning it fails and how CISOs must shift to data-centric AI governance.

As enterprise AI agent adoption accelerates, a new study exposes a governance gap that leaves most organizations unable to stop their own systems

A new diplomatic offensive against foreign privacy laws collides with fresh research showing that weakening data sovereignty protections is the last thing organizations need right now.

A code bug blew past every security label in the book… and exposed the fatal flaw in how we govern AI.

AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here’s how to adapt security.