Security & Compliance for AI Automations: Governance Checklist

AI automation governance isn't optional—it's essential for sustainable deployment. LaunchPixel's governance framework balances innovation with appropriate controls and risk management.

Risk taxonomy covers four areas: data risks (privacy, quality, bias), model risks (accuracy, drift, explainability), access risks (authentication, authorization, audit trails), and operational risks (availability, monitoring, incident response).

Practical controls include: comprehensive logging of all AI decisions, human-in-loop gates for high-stakes actions, clear data retention policies, regular impact reviews, and vendor diligence for third-party AI services. Document everything—governance isn't real until it's written down and consistently applied.