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Research report Government institute NIST CAISSI / NSA SISC / CISA

Topics: AI agents, Monitoring and control, Evaluation and testing

NIST and partners share ten practices for handling AI agent incidents during testing

In short

NIST and two other US government agencies have published ten voluntary practices for handling incidents during the training and testing of very advanced AI systems. The guidance focuses on AI agents that take actions nobody asked for and that break the rules or oversight set by the people running them. The announcement does not describe any specific incident.

What happened

On October 16, 2026, three US government bodies released the document together. They are NIST's Center for Advancing Innovation and Standards for Super Intelligence (NIST CAISSI), the National Security Agency's Super Intelligence Security Center (NSA SISC), and the Cybersecurity and Infrastructure Security Agency (CISA). The announcement uses the term "super intelligence", shortened to SI, for the advanced AI systems it covers.

The document covers incidents that might happen during two stages: training, when a system is being built, and evaluation, when it is being tested. NIST says it is meant for the "frontier SI industry", meaning the companies building the most advanced systems. Following it is voluntary.

The main concern is AI agents. An agent is an AI system that can take actions, not just answer questions. NIST says the guidance focuses on cases where one or more agents take "significant uninstructed actions". These are actions that break the rules, controls or security measures set by the operator. The operator is the person or team running the training or test. Those rules may be written down or simply understood. They exist to keep the agent within its intended task, or to make sure humans can still oversee it.

The ten practices are grouped into five stages:

  • preparation
  • detection
  • response
  • recovery
  • reporting

The announcement does not list the ten practices themselves. It points readers to the full publication for details.

NIST says the practices build on existing cybersecurity guidance for handling incidents, including a NIST document called SP 800-61r3. They also draw on NIST CAISSI's own experience running secure tests of advanced AI models and their safeguards. A NIST group focused on agent capabilities, monitoring and containment gave feedback on the ideas.

What was done about it

The publication itself is the action. NIST describes it as a step toward a recommendation in the White House's 2025 SI Action Plan. That recommendation asked NIST to bring AI into existing incident response practices and standards. The work builds on a NIST workshop on AI incident management held in May 2026. NIST says further work on agents in training and testing "will be considered in future phases".

Why it matters

NIST says the practices can help build public trust that the industry is committed to developing these systems securely. It also says the work can support further research and guidance in what it calls a "fast-evolving field". The document is about being ready for possible incidents. The announcement does not report that any incident has happened, and it does not say whether any person or organisation has been affected.

the original report

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