Closing Governance Gaps in AI: Practical Oversight Framework

Unlike static applications, AI introduces dynamic, unpredictable risks, like autonomous agents operating with unchecked privileges and prompt injections bypassing standard firewalls.

To close these governance gaps, security teams need a sharper framework:
1️⃣ Track: Establish continuous visibility into every LLM and agent.
2️⃣ Monitor: Shift to behavioral analysis to spot anomalous AI actions in real-time.
3️⃣ Enforce: Move from static, written policies to active network enforcement.

If you are trying to build out an oversight architecture for your organization's AI, here is a practical breakdown of how to close those gaps: https://xtra.li/3RxRaND

#AI governance #AI security #machine learning oversight #dynamic risk management #AI policy enforcement