# AI security insights

Rangoon Insights reporting and guides tagged AI security.

Canonical: https://rangoon.ai/insights/tags/ai-security/

## 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
- [UK’s third-party AI assurance roadmap mapped professionalization, information access and a planned innovation fund](https://rangoon.ai/insights/archive-uk-trusted-third-party-ai-assurance-roadmap-september-2025/)
  The UK published a third-party AI assurance roadmap on September 3, 2025, setting out government actions and future-market infrastructure rather than a new audit certification.
- [Nevada’s AB 325 put human final-decision boundaries around emergency AI use](https://rangoon.ai/insights/archive-nevada-ab325-emergency-ai-decisions-may-2025/)
  Nevada approved AB 325 on May 30, 2025, barring AI from making final emergency-response resource decisions and utility shutoff decisions during a disaster or emergency.
- [Microsoft put PyRIT-backed AI red teaming into Foundry preview, making scan evidence a separate release artifact](https://rangoon.ai/insights/archive-microsoft-ai-red-teaming-agent-preview-april-2025/)
  Microsoft announced its AI Red Teaming Agent public preview on April 4, 2025, bringing PyRIT-based adversarial testing to Foundry evaluation, reporting and logging surfaces.
- [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.
- [The UK retitled its AI Safety Institute and put security risks at the centre of its remit](https://rangoon.ai/insights/archive-uk-ai-security-institute-february-2025/)
  On February 14, 2025, the UK renamed its AI Safety Institute the AI Security Institute, adding a criminal-misuse team and foregrounding national-security research.
- [Oregon’s AI Advisory Council delivered a five-action state-government plan](https://rangoon.ai/insights/archive-oregon-state-ai-action-plan-february-2025/)
  Governor Tina Kotek announced Oregon’s final state-government AI action plan on February 12, 2025, linking governance, security, privacy and workforce recommendations.
- [OECD launched the Hiroshima AI reporting framework, making comparable company disclosures the event—not proof of compliance](https://rangoon.ai/insights/archive-oecd-hiroshima-ai-reporting-framework-february-2025/)
  OECD launched a Hiroshima AI Process reporting framework on February 7, 2025, inviting advanced-AI organizations to disclose risk-management practices in a shared format.
- [UK published an AI cyber-security code with 13 voluntary principles and an implementation guide](https://rangoon.ai/insights/archive-uk-ai-cyber-security-code-january-2025/)
  The UK published its AI Cyber Security Code of Practice on January 31, 2025, pairing voluntary principles for developers and operators with a practical implementation guide.
- [Google’s Big Sleep reported a previously unknown SQLite flaw before release, with human disclosure still central](https://rangoon.ai/insights/archive-google-big-sleep-sqlite-vulnerability-november-2024/)
  Google Project Zero and DeepMind announced Big Sleep on November 1, 2024 after it found an unknown SQLite memory-safety flaw that maintainers fixed before an official release.


## 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)