Andrios Robert

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How to keep AI-controlled infrastructure AI change audit secure and compliant with Database Governance & Observability

Imagine your AI workflow running wild after a late-night deploy. Models retraining, data pipelines refactoring themselves, and automated systems rolling out “minor” schema updates that end up nuking production tables. AI-controlled infrastructure works fast, sometimes too fast, and the audit trails it leaves behind are either scattered or missing. For
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Build faster, prove control: Database Governance & Observability for AI command monitoring AI control attestation

Picture an AI agent running late-night database automations. The model spins through prompts, runs queries, and pushes schema changes at breathtaking speed. Impressive, until someone asks, “Who approved that update?” or worse, “Where did that PII go?” AI command monitoring and AI control attestation promise accountability, but without live database
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