AI Governance
Frameworks, policies, and oversight for responsible AI deployment
Hero Post
By Adesh Gairola
Kill the God Agent
A God Agent is one model wired to every tool on one shared identity, holding the whole lethal trifecta at once: it reads untrusted content, touches private data, and talks to the outside world. You can't filter prompt injection out of that, so you change the architecture instead. Three deterministic moves: scope every agent, sign every call, stop every breach. Break even one leg of the trifecta and the blast radius shrinks.
Featured Posts
By Adesh Gairola
Agent identity isn't solved. Here's the model I use anyway.
Agent identity makes more sense as four stacked layers: a tamper-proof token format, cryptographic proof of which workload is running, a delegation chain that keeps the human as the subject, and a way to onboard to a service an agent has never met. Climb all four and you've proven who the agent is. You still haven't proven that what it did was okay.
By Adesh Gairola
BodySnatcher and the Missing Identity Layer
BodySnatcher (CVE-2025-12420) showed how AI agents with aggregated permissions can compromise entire platforms in seconds. Traditional security controls designed for humans don't work at machine speed. Organizations need threat modeling and runtime controls for all three layers: API auth, identity binding, and agent execution.
By Adesh Gairola
Three Regulatory Philosophies, One Global AI Market
The EU (9/10 risk), US (5/10), and Australia (6/10) take vastly different approaches to AI regulation. Build for EU standards globally—the Brussels Effect means you'll need them anyway.
