Auditing AI Agents Automatically with Phala and Vijil

​How can AI agents be proven reliable, safe, and secure — automatically?

​Join Phala and Vijil for a live session on building and deploying trustworthy AI agents through continuous, verifiable auditing.

​See a full end-to-end demo where an agent is:

1️⃣ Deployed inside a Phala Trusted Execution Environment (TEE) that guarantees both integrity and confidentiality — ensuring code runs exactly as deployed, with data protected at all times.
2️⃣ Audited by Vijil, uncovering reliability, safety, and security risks through a measurable Vijil Trust Score™.
3️⃣ Hardened using Vijil Dome guardrails, which automatically generate and enforce runtime policies to block or rewrite unsafe behavior.
4️⃣ Re-deployed and re-verified, earning a passing Trust Score that confirms the agent is now trustworthy.

​We’ll show how:

✅ Phala TEEs provide cryptographic proof of both integrity and confidentiality, securing the environment from hardware up.
✅ Vijil continuously evaluates agents across reliability, safety, and security trust dimensions—automatically testing for a broad range of risks, including hallucinations, prompt injection, data leakage, unsafe outputs, and policy violations.
✅ The Phala Trust Center unifies these layers, offering a transparent, reproducible record of agent trustworthiness end-to-end.

​See how enterprises can move beyond “secure deployment” to audit, harden, and verify — the foundation for trusted AI in production.