The EU AI Act vs. Autonomous AI: How to Audit an Agentic Workflow in Under 60 Seconds

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This article addresses the compliance challenge of deploying autonomous AI coding agents in enterprise environments under the EU AI Act. It explains why legal and risk teams reject black-box agents due to lack of traceability, opacity, and unbounded behavior. The author, drawing from computational physics, proposes treating agent actions as state transitions in an immutable, hash-chained ledger. A companion GitHub repo (ruslanmv/eu-ai-act-audit-demo) demonstrates a governed FastAPI service that traps rogue agents and exports a signed compliance report in under a minute. The post covers Articles 12 and 14 of the EU AI Act (logging and human oversight) and provides a concrete technical solution for auditing agentic workflows.

The EU AI Act vs. Autonomous AI: How to Audit an Agentic Workflow in Under 60 Seconds

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