microsoft / microsoft/agent-governance-toolkit
Governance-layer gap suggestions: SBOM / context integrity / human-approval middleware
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 1.1k
- Avg merge
- 5d 11h
- Merged PRs (30d)
- 142
Description
Hello maintainers of agent-governance-toolkit — thank you for this toolkit; the five-plane architecture (Agent OS / Mesh / Compliance / Runtime / SRE) and the OWASP Agentic Top-10 coverage are excellent engineering references.
During our evaluation we noted three gaps the toolkit itself discloses as partial (ASI04/ASI06/ASI09). As a contribution suggestion (no code changes from our side unless requested), we would like to offer implementation directions:
1. **ASI04 (partial — no SBOM/dependency scan)**: wire SBOM generation + dependency scanning (e.g., GitHub Advanced Security / Dependabot / CycloneDX) into the Agent Compliance plane's integrity checks.
2. **ASI06 (partial — no in-memory sandbox / context integrity checksum)**: a `ContextValidator` middleware at the model-call boundary that verifies context integrity (checksum over ingested context windows) — complements the existing audit hash chain.
3. **ASI09 (partial — no UI-level confirmation / HITL)**: a `HumanApproval` middleware at `require_approval` decision points (escalation path to a human-review UI), closing the human-agent trust loop.
If these directions are useful, we are happy to discuss further or draft a contribution (we would follow your contribution guidelines). If this is out of scope, please close — we will not repeat the contact.
— respectful contributor
Contributor guide
Research direction
Start by mapping the Agent Compliance plane's integrity checks, the model-call boundary, existing audit hash chain, and require_approval decision points. The issue names no files or tests; the work would need agreed scope and maintainer direction for SBOM scanning, context validation, and human-review UI before completion can be verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- github, python
- Domain
- ai, devops, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100