AI Governance — iTmethods Insights
Analysis of how AI governance is evolving in regulated industries — agentic architectures, FINOS standards, third-party risk, and the regulatory frameworks reshaping enterprise AI (EU AI Act, DORA, AIGF, NIST AI RMF, ISO 42001).
Most AI Governance Tools Were Built for Generative AI. Agentic AI Requires a Different Architecture.
Agentic AI is in production in regulated industries. The governance stack most institutions spent the last three years building was designed for a world that no longer exists. FINOS Open RegTech shows the architecture pattern that actually works.
114 Days
The EU AI Act enforcement clock is running. Most enterprises don't know what they need to prove — and a compliance deck won't save them.
Anthropic Just Made Every Desktop an AI Agent. Here's What That Means for Enterprise Governance.
Computer Use + Dispatch = autonomous agents on every MacBook. The governance conversation starts now.
Securing the Agentic Era: OpenClaw, NemoClaw, and the Governance Layer That's Still Missing
NemoClaw secures the container. Reign governs the enterprise. Here's why you need both.
Why Regulated Industries Hit a Wall — And What the New Stack Actually Requires
Generic controls collapse when billions and lives are on the line. Here's what actually works in financial services, healthcare, life sciences, and defense.
Why 80% of Enterprises Are Stuck — and What the Control Plane Actually Looks Like
The missing layer between AI-assisted and AI-native isn't a model. It's governance.
MCP Is Exploding. Your Governance Isn't Ready.
The five questions every organization should be able to answer about AI agent governance
Chamath Just Said What Every Enterprise CISO Already Knows
Why data sovereignty, AI cost control, and attorney-client privilege demand governed infrastructure — now
OpenClaw: The Governance Failure We Saw Coming
An autopsy of what happens when AI adoption outpaces control