From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents
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Lightweight governance for AI memory
From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents
Lightweight governance for AI memory
Okay, let's talk about balance. Too much governance will slow your AI pilots to a crawl. Too little governance and the agent fills up with false facts. Lightweight governance is going to be that perfect balance. It provides targeted controls that keep your memory trustworthy without a ton of overhead. Let's talk about what this means for BigStar. Big Star focuses governance on three tactical areas. Validation to verify truth, access controls to restrict permissions, and updating workflows to manage change over time. Let's talk about validation first. Validation acts as that first governance layer. A customer calls in and claims a false used item return policy, and that the customer service agent promised full cash refunds for used items. Without validation, the agent writes this false policy into procedural memory, and this corrupts every future decision it makes. With validation, the agent runs a check. That customer's claim is against official policy documents. Detecting the…
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