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AI Operations

There is no final security review for AI

The National Institute of Standards and Technology (NIST) has published a mathematical argument supporting a continuous-monitor-and-update security model for artificial intelligence. The practical conclusion is direct: a fixed set of guardrails cannot remain universally robust against adaptive adversarial prompts.

An organization may approve a system for release. It cannot approve the system out of change.

Monitoring deployed AI is a knowledge practice

The National Institute of Standards and Technology (NIST) has published a report on the challenges of monitoring deployed artificial intelligence systems. It addresses a growing operational reality: predeployment testing cannot anticipate every combination of user, data, environment, and system change.

Monitoring is the bridge between what a team expected and what the deployed system is actually doing. Building that bridge requires more than a dashboard.

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