# NIST insights

Rangoon Insights reporting and guides tagged NIST.

Canonical: https://rangoon.ai/insights/tags/nist/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [AI Cyber Defense Act proposal separates model-theft defenses from defensive AI standards](https://rangoon.ai/insights/ai-cyber-defense-act-nist-distillation-october-2026/)
  The October 22 AI Cyber Defense Act proposal would task NIST with voluntary standards work. What the introduced text means for model providers and security teams.
- [NIST, NSA and CISA publish voluntary SI incident-readiness practices](https://rangoon.ai/insights/nist-si-incident-readiness/)
  New voluntary super intelligence guidance covers incident readiness during training and evaluation. Operator analysis examines shutdown tests, evidence and restart authority.
- [NIST AI 100-2e2025 gave adversarial machine learning a shared taxonomy, not a risk tolerance rule](https://rangoon.ai/insights/archive-nist-adversarial-machine-learning-taxonomy-march-2025/)
  NIST published AI 100-2e2025 on March 24, 2025, organizing adversarial-machine-learning attacks and mitigations while leaving risk tolerance to the context of each use case.
- [NIST’s preliminary Cyber AI Profile framed AI security in three linked roles](https://rangoon.ai/insights/archive-nist-cyber-ai-profile-preliminary-draft-december-2025/)
  NIST released its preliminary Cyber AI Profile on December 16, 2025, framing AI cybersecurity around securing systems, defending with AI, and thwarting AI-enabled attacks.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)