How Faction Contains AI Agents

This walkthrough is an overview of how Faction keeps AI agents accountable. Organizations are deploying AI faster than governance frameworks can evolve, which makes identity, authorization, and accountability critical — and the same AI is leveraged by bad actors to exponentially increase their ability to discover and exploit vulnerabilities. Accountability bolted on above the application layer is easy for an agent to bypass. Here we look at how Faction enforces it underneath instead — binding every agent to a human sponsor and bounding what it is allowed to do, so the decisive question shifts from whether a connection is allowed to who, or what, is acting and whether a verified human is accountable for it.

• How every AI agent in a Faction network carries a cryptographically verifiable identity derived from a human sponsor
• How an agent’s actions are bounded and made auditable against the human who authorized them
• How the policy engine enforces governance beneath the application layer, not bolted on above it
• How Human-in-the-Loop steps up to a verified, present human for privileged or irreversible actions

The throughline is simple: identity-bound governance and a policy engine keep AI agents accountable to the people who deploy them. Because that enforcement lives beneath the application layer rather than above it, an agent cannot route around the authority it was granted — and because it runs inside an owner-controlled Faction network, the control plane stays off the public internet. The result is AI you can put to work without losing the chain of accountability behind every action.