AI Agent Audit Trails for GDPR, HIPAA, and SOC 2 Compliance
Regulators designed frameworks for humans; agents now need purpose-built audit trails.
Marcus Delacroix
Regulators designed frameworks for humans; agents now need purpose-built audit trails.
Current agent monitoring tools were built for single prompts, not multi-step decision chains.
Standard LLM benchmarks miss how agent loops compound latency across multiple hops.
Attackers now bypass single-layer defenses by targeting trusted channels agents already use.
Agents need tracing built for semantic failures, not just crashes.
Build production confidence by layering unit tests, trajectory scoring, and live monitoring.
Agents fail invisibly—confidence with wrong answers—and standard monitoring can't catch it.
LangGraph's explicit graph model and per-step checkpointing outperform alternatives at scale.