How to Make Your AI Agent EU AI Act Compliant: A Practical Guide

说明与用途

使用 ZizkaDB 为 AI 代理实现审计跟踪的分步指南，确保符合 EU AI 法案的要求，包括事件记录、控制证据和后期市场监控。

问题

AI agents lack a clear compliance framework for the EU AI Act, especially for logging, human oversight, and post‑market monitoring.

结果

Agents equipped with ZizkaDB provide tamper‑evident, causal audit trails that satisfy EU AI Act Article 12, enabling demonstrable risk management, human oversight, and post‑market monitoring.

工作流

• 1. Identify the agent’s risk tier (prohibited, high‑risk, limited‑risk, minimal‑risk).
• 2. Map EU AI Act articles to evidence requirements (risk register, data governance, technical docs, record‑keeping, human oversight, post‑market monitoring).
• 3. Prepare static documentation: risk register, data governance records, technical documentation, quality management process.
• 4. Design the runtime record‑keeping layer: capture agent identity, inputs, planning steps, tool calls, outputs, human interventions, and configuration changes. Ensure tamper‑evidence, retention, and privacy.
• 5. Deploy ZizkaDB: install via Docker or clone, configure Postgres, set credentials.
• 6. Instrument the agent with ZizkaDB SDK or native framework packages (Python, TypeScript, LangChain, CrewAI, LiveKit, MCP).
• 7. Log each event with causal links (parent_id).
• 8. Use db.why() or dashboard to trace decisions back to root causes.
• 9. Maintain logs for at least six months (or sector‑specific duration).
• 10. Periodically review logs for post‑market monitoring and incident reporting.

证据

ZizkaDB is an open‑source, self‑hosted audit trail database for AI agents.

来源

Article 12 requires high‑risk systems to technically allow automatic recording of events over the system's lifetime.

来源

The logs must help identify situations that may create risk or involve a substantial modification, support post‑market monitoring, and support the deployer's monitoring of operation.

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