Tim Freestone

Recent AI and data security actions show why AI governance now belongs with boards, not just IT teams managing tools and access.

CISA’s LiteLLM warning shows why AI gateways and agents need service account governance, scoped access, credential rotation, and audit trails.

Gartner SRM 2026 put resilience, identity, and AI agent governance at the center of cybersecurity strategy as prevention loses ground.

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