agent-bom

AI 与智能体

by msaad00

面向 AI 供应链安全的扫描器,支持 CVE 扫描、blast radius 分析、策略执行与 SBOM 生成。

什么是 agent-bom

面向 AI 供应链安全的扫描器,支持 CVE 扫描、blast radius 分析、策略执行与 SBOM 生成。

README

<p align="center"> <img src="https://raw.githubusercontent.com/msaad00/agent-bom/main/docs/images/social-preview.svg" alt="agent-bom — Discover. Scan. Correlate. Act. Security evidence across repositories, software supply chains, AI and MCP, cloud, identity, and data." width="960" /> </p> <p align="center"> <a href="https://github.com/msaad00/agent-bom/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/msaad00/agent-bom/ci.yml?branch=main&style=flat&label=Build" alt="Build"></a> <a href="https://pypi.org/project/agent-bom/"><img src="https://img.shields.io/pypi/v/agent-bom?style=flat&label=PyPI&cacheSeconds=60" alt="PyPI"></a> <a href="https://pypi.org/project/agent-bom/"><img src="https://img.shields.io/badge/Python-3.11%E2%80%933.14-blue?style=flat" alt="Python 3.11 through 3.14"></a> <a href="https://hub.docker.com/r/agentbom/agent-bom"><img src="https://img.shields.io/docker/pulls/agentbom/agent-bom?style=flat&label=Docker%20pulls" alt="Docker pulls"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-blue?style=flat" alt="Apache-2.0 license"></a> <a href="https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom"><img src="https://img.shields.io/ossf-scorecard/github.com/msaad00/agent-bom?style=flat&label=OpenSSF%20scorecard" alt="OpenSSF Scorecard"></a> <a href="https://glama.ai/mcp/servers/msaad00/agent-bom"><img src="https://img.shields.io/badge/MCP-Glama-7c3aed?style=flat" alt="Glama MCP server"></a> <a href="https://smithery.ai/servers/agentbom/agent-bom"><img src="https://img.shields.io/badge/MCP-Smithery-1f6feb?style=flat" alt="Smithery MCP server"></a> </p> <!-- mcp-name: io.github.msaad00/agent-bom --> <p align="center"><b>Open security scanner and self-hosted control plane for AI, MCP, and cloud infrastructure.</b></p> <p align="center"> <a href="#product-tour"><b>Product tour</b></a> · <a href="#self-host-in-your-environment"><b>Self-host</b></a> · <a href="#quick-start">Quick start</a> · <a href="https://msaad00.github.io/agent-bom/">Docs</a> </p>

Built for the teams that build, secure and govern AI

Your teamWhat you can do
Developers & AI engineersInspect repositories, dependencies and MCP configuration; bring findings into CI and coding assistants.
AppSec & cloud securityConnect cloud accounts, trace findings through workloads and identities, and prioritize fixes by reachable impact.
Platform & DevOpsRun a shared control plane, collect fleet evidence, and apply policy to MCP traffic through the proxy or gateway.
GRC & auditOpen Compliance to review mappings and export scan evidence with its source, freshness and assessment gaps.
Security & engineering leadersOpen Overview to review posture, remediation priorities and tracked AI spend across connected sources.
AI assistants & automationUse MCP workflows to query evidence and inspect findings within the caller’s permissions.

Product tour

Security and engineering leaders: decide what needs attention

See the current risk posture and critical findings first. Open the underlying evidence before assigning a priority.

<p align="center"> <a href="docs/images/dashboard-live.png"><img src="docs/images/dashboard-live.png" alt="Actual Overview screen with prioritized sample risks and a tab for posture details" width="920"></a> </p>

GRC and audit: see framework mappings and assessment gaps

Review NIST AI RMF, NIST CSF, ISO 27001, SOC 2, PCI DSS and CIS framework status alongside OWASP LLM, OWASP MCP, OWASP Agentic and MITRE ATLAS risk mappings. Open Compliance for the framework catalog and control evidence. The sample below has no evaluated controls; mappings and framework icons do not establish a compliance pass or certification.

<p align="center"> <a href="docs/images/dashboard-paths-live.png"><img src="docs/images/dashboard-paths-live.png" alt="Expanded Overview compliance frameworks and risk mappings with NIST, ISO, SOC 2, PCI DSS, CIS, OWASP and MITRE icons and explicit assessment status in a labeled sample environment" width="920"></a> </p>

AppSec and cloud teams: explain why a finding matters

Follow CVE-2023-4863 in pillow@9.0.0 from its service and container through the tool, workload identity and reachable data asset. Inspect the source receipts and carry the selected finding into remediation.

<p align="center"> <a href="docs/images/correlation-graph-live.png"><img src="docs/images/correlation-graph-live.png" alt="Reference lab application graph connecting a real Pillow advisory to modeled infrastructure and its remediation action" width="920"></a> </p>

Engineers and GRC: prioritize findings and verify fixes

Review findings by priority, affected asset, detection evidence and available fix. Open remediation to compare package upgrades and mapped controls, assign owners, set SLAs and re-scan to verify fixes.

<p align="center"> <a href="docs/images/dependency-map-live.png"><img src="docs/images/dependency-map-live.png" alt="Actual Findings screen with labeled sample findings, priority, affected assets, detection evidence and remediation actions" width="920"></a> </p> <details> <summary>See package remediation and verification</summary> <p align="center"> <a href="docs/images/remediation-live.png"><img src="docs/images/remediation-live.png" alt="Actual remediation screen with sample package upgrades, affected controls and campaign verification workflow" width="920"></a> </p> </details>

These are application captures, not mockups. Overview, Findings and remediation use labeled sample data. The graph uses the reproducible reference lab: real parsers, a pinned advisory scan and authenticated gateway calls, with modeled infrastructure. A blocked call does not establish that the underlying package was fixed.

Discover and scan · Runtime policy and agent workflows · Run the reference evidence lab · Evidence workflow · Control-plane architecture

Self-host in your environment

Your infrastructure, your identity, your database, your audit boundary. Run the control plane on a workstation, a VM or your Kubernetes cluster. Connect the sources you need and add fleet collection or runtime enforcement as teams adopt them. The deployment guides cover credentials, persistence and access controls for each supported path.

For a workstation pilot, run from a published release checkout:

bash
docker compose up -d

Open http://localhost:3000, then Connections or New Scan. For cloud accounts, add a scoped read-only connection, verify access, then start a scan. The pilot binds to loopback and retains state in a Docker volume. Use the authenticated deployment guide below for a shared instance.

Where you run itStart here
Workstation evaluationDocker pilot — packaged API, dashboard and persistent state
Shared VM / private cloudAuthenticated deployment · Compose profile — PostgreSQL and configured identity
KubernetesHelm deployment · EKS Terraform
SnowflakeNative App installation
Restricted networksAir-gapped image bundle

Choose a deployment · Enterprise configuration · Connect cloud accounts

Work with your existing tools

Use the CLI or GitHub Action in CI, the REST API for automation, and MCP from coding assistants. Export SARIF, CycloneDX, SPDX, JSON and HTML for downstream workflows. Cloud connectors and fleet sync feed the control plane; proxy and gateway deployments contribute runtime evidence.

Integration capability matrix · MCP client setup · Proxy, gateway and fleet · Smithery setup and manifest

Quick start

Scan a repository:

bash
pip install agent-bom
agent-bom scan .

Save CI evidence with agent-bom scan . -f sarif -o findings.sarif. Use agent-bom doctor to check setup. First-run guide

Try the CLI demo: agent-bom scan --demo --offline. The synthetic sample deliberately triggers a security gate (exit 1).

<p align="center"> <img src="docs/images/demo-latest.gif" alt="Recorded agent-bom CLI showing sample findings and remediation guidance" width="920" /> </p>

The recording runs the offline command and pages its output for readability.

Give assistants access to the same evidence:

bash
pip install 'agent-bom[mcp-server]'
agent-bom mcp server

Start with eight focused tools, then select a graph, cloud, runtime or audit profile. The full catalog has 86 MCP tools, 7 resources, and 8 workflow prompts. MCP workflows

<details> <summary>Developer gates and offline scans</summary>

Use uvx agent-bom scan . without a global install, or uvx agent-bom check requests@2.33.0 --ecosystem pypi before adding a package. For automatic dependency and secret gates, see pre-commit and CI setup.

agent-bom db update --osv-ecosystem PyPI covers only the selected ecosystem; add the ecosystems you need before running agent-bom scan . --offline. The full agent-bom db update --source osv archive can exceed 1 GB; the command shows live progress. A non-zero exit can mean a security gate or incomplete assessment: inspect the report and coverage. Exit codes

</details>

Trust and evidence

Discovery uses read-only access by default. Explicit disk side-scans create temporary cloud resources; runtime enforcement acts on selected tool calls. Missing evidence stays unavailable or partial. Control mappings are not audit certification.

Product boundaries · Permissions · Threat model · Security policy · Release verification · Measured matcher proof

Contributing and support

Contributing · Support · Open issues · Apache-2.0 license

常见问题

agent-bom 是什么?

面向 AI 供应链安全的扫描器,支持 CVE 扫描、blast radius 分析、策略执行与 SBOM 生成。

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