# Governance insights

Rangoon Insights reporting and guides tagged Governance.

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

## 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
- [Trump's Super Intelligence meeting: the accord and its implications for AI governance](https://rangoon.ai/insights/trump-super-intelligence-accord-agent-governance/)
  What happened at the September 29 White House meeting, what the voluntary frontier-AI accord covers, and where Rangoon and LNSAT fit in deployment governance.
- [LNSAT: execution authority for AI agents](https://rangoon.ai/insights/lnsat-execution-authority-for-ai-agents/)
  How Rangoon separates capability management from LNSAT execution authority, exact action packets, approvals, receipts, and state reconciliation.
- [Canada and LawZero: planned investments and sovereignty claims](https://rangoon.ai/insights/canada-lawzero-sovereign-ai-investment/)
  Canada and Germany announced planned investments in LawZero. The announcement makes it useful to separate local capacity, research control, and data handling.
- [GSA OneGov: consumption-based AI procurement](https://rangoon.ai/insights/gsa-onegov-ai-procurement/)
  GSA announced a new consumption-based OpenAI agreement for federal agencies. The practical challenge is governing usage, data handling, and evaluation.
- [NIST's 2025 AISI-to-CAISI change and the current CAISSI mission](https://rangoon.ai/insights/nist-aisi-caisi-rebrand-evaluation-mission/)
  Review the 2025 AISI-to-CAISI transition, NIST’s current CAISSI mission, and what published evaluation methods mean for technical and procurement teams.
- [OPA, Cedar, identity, and the exact action](https://rangoon.ai/insights/opa-cedar-identity-exact-authority/)
  Compare policy engines and identity providers with execution authority, approvals, receipts, and the narrow scope of one consequential action.


## 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)