Resources
Insights & Resources
Stay ahead of regulatory change and emerging risks with expert perspectives on AI governance, compliance frameworks, and responsible AI practices.
Introducing gitfence: Open-Source Git Guardrails for AI Agents
AI agents run the same git commands developers do — but they don't understand consequences. gitfence is a drop-in git wrapper that deterministically blocks destructive operations. Today, we're open-sourcing it.
Where Does Your AI Governance Actually Stand? A 5-Level Maturity Model
AI governance isn't binary — it's a spectrum, and most teams can't point to where they sit on it. Here's a 5-level maturity model to make it concrete.
Your AI Agent Has a Company Credit Card — and No Spending Limit
You'd never hand a new hire a corporate card with no limit, no alerts, and no statement. Yet that's exactly what deploying an unmonitored AI agent does.
AI Governance Has Two Numbers. Most Teams Can't See Either.
A small team ships an AI agent. It works. Everyone moves on. But the agent is quietly draining two things at once — money and hours — and both are invisible by default.
Building Trust in Agentic AI with the Digital Identity Rights Framework (DIRF)
How will you safeguard against risks when AI systems become increasingly capable of replicating voice, face, and behavior, and even monetizing identity?
From AI Governance Failure to Resilient Systems
AI failures aren’t about technology—they’re about governance. And as adoption grows, so does invisible risk.
Zero SDK: Govern Any AI Agent Without Touching Its Code
Every governance platform asks you to wrap your agent in its SDK — import the library, rewrite your tool calls, add middleware. Governance shouldn't live inside your agent's code. It should live beneath it.
Why Runtime AI Governance Matters More Than Pre-Deployment Reviews
Pre-deployment audits catch what you plan for. Runtime governance is what saves you when real-world behavior diverges under actual operating conditions.