microsoft / microsoft/agent-governance-toolkit

Governance-layer gap suggestions: SBOM / context integrity / human-approval middleware

Open
#3,892 2 comments 0 reactions 0 assignees View on GitHub
needs-review:HIGH
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

Open the contributing 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.