The Trust Lifecycle for Safe, Secure and Reliable AI Agents
summary
Vizu presents an Agent Trust Lifecycle: build agents with deterministic tools for IDs and math, add a grounding guardrail to verify outputs, and run multi-pass tests for consistency. Case studies include a real estate agent hallucinating broker UUIDs, an HR pipeline inducing gendered translation bias, and a crypto agent vulnerable to a goal hack that picks seeded tokens. Use telemetry, small models like BERT for log classification, and automated optimization with Jeppa and DSPy, producing ~75% reduction in time to policy compliance.
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chapters (7)
- 0:00Trust Lifecycle intro
- 7:21Reliable AI agents
- 12:11Agent safety and compliance
- 18:29Securing AI agents
- 24:04Monitoring trust in production
- 29:36Adapting agents for trust
- 34:27Q&A
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