Technical articles on architectural governance, framework comparisons, and enterprise compliance for autonomous AI systems.
System prompts, RBAC, and monitoring dashboards are the default approach to AI agent governance. They work for demos. They break in production. Here's why architectural constraints are the only approach that scales.
LangGraph is excellent at defining how agents work. But if your agent touches production infrastructure or customer PII, you need to define what it cannot do. A fair, technical comparison of two different approaches.
Most AI agent frameworks log what happened. Lancelot proves what happened. The difference matters when an auditor asks for evidence, not anecdotes. SOC 2, ISO 27001, and GDPR from a single receipt DAG.