AI agents are making real decisions: filing tickets, moving money, deploying code, operating infrastructure. The question is no longer what the agent should do. The question is: can you prove governance was actually enforced?
Right now, all agent governance is software. Policy engines, identity checks, audit logs, credentials: everything lives in the same trust boundary as the agent itself. If someone compromises the runtime, every control disappears. Policies get bypassed. Credentials get exfiltrated. Audit logs get forged. Software governance makes promises. Hardware governance provides proofs.
I will walk through what my team has built (the Agent Governance Toolkit), where the software limits are, and how TEE-backed enforcement closes those gaps. Concrete architecture, real code, honest gap analysis.
