Policyforge

pip install cognis-policyforge
policyforge scan .            # → prioritized findings in seconds

🔎 Example output

Real, reproducible output from the tool — runs offline:

$ policyforge-emit --version
policyforge 0.1.0

$ policyforge-emit --help
usage: policyforge [-h] [--version] [--format {table,json}]
                   {generate,coverage,frameworks} ...

Auto-generate audit-ready security policies from a questionnaire.

positional arguments:
  {generate,coverage,frameworks}
    generate            generate policy documents
    coverage            show control coverage map
    frameworks          list supported frameworks/controls

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --format {table,json}
                        output format (default: table)

Blocks above are real policyforge output — reproduce them from a clone.

Sample result format (illustrative values — run on your own data for real findings):

{
"incident_id": "INC001",
"created_at": "2023-02-15T14:30:00Z",
"updated_at": "2023-02-15T14:31:00Z",
"findings": [
    {
        "id": "FIND001",
        "title": "Suspicious DNS Query",
        "description": "DNS query for suspicious domain",
        "severity": "medium",
        "created_at": "2023-02-15T14:30:00Z"
    },
    {
        "id": "FIND002",
        "title": "Unusual Network Traffic",
        "description": "Unusual network traffic detected",
        "severity": "high",
        "created_at": "2023-02-15T14:31:00Z"
    }
]
}

Usage — step by step

1. Install the CLI (Python 3.9+):

   pip install git+https://github.com/cognis-digital/policyforge.git
   

2. List the supported frameworks/controls so you can scope the questionnaire:

   policyforge frameworks
   

3. Generate audit-ready policy documents from a questionnaire JSON file:

   policyforge generate questionnaire.json
   

4. Review the control coverage map (use JSON for tooling):

   policyforge --format json coverage questionnaire.json > coverage.json
   

5. Regenerate policies on every change in CI:

   - name: regenerate security policies
     run: |
       pip install git+https://github.com/cognis-digital/policyforge.git
       policyforge generate questionnaire.json
   

Contents

• Why policyforge? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing

Why policyforge?

startups getting audit-ready

policyforge is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

Features

• ✅ Generate Policies
• ✅ Coverage Report
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

pip install cognis-policyforge
policyforge --version
policyforge scan .                       # scan current project
policyforge scan . --format json         # machine-readable
policyforge scan . --fail-on high        # CI gate (non-zero exit)

Example

$ policyforge scan .
  [HIGH    ] POL-001  example finding             (./src/app.py)
  [MEDIUM  ] POL-002  another signal              (./config.yaml)

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  IN[input] --> P[policyforge<br/>analyze + score]
  P --> OUT[report]

Use it from any AI stack

policyforge is interoperable with every popular way of using AI:

• MCP server — policyforge mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
• OpenAI-compatible / JSON — pipe policyforge scan . --format json into any agent or LLM
• LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
• CI / scripts — exit codes + SARIF for non-AI pipelines

How it compares

	Cognis policyforge	Comp AI
Self-hostable, no account	✅	varies
Single command, zero config	✅	⚠️
JSON + SARIF for CI	✅	varies
MCP-native (AI agents)	✅	❌
Polyglot ports (JS/Go/Rust)	✅	❌
Open license	✅ COCL	varies

Built in the spirit of Comp AI, re-framed the Cognis way. Missing a credit? Open a PR.

Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (policyforge mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.

Install — every way, every platform

pip install "git+https://github.com/cognis-digital/policyforge.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/policyforge.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/policyforge.git" # uv
pip install cognis-policyforge                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/policyforge:latest --help        # Docker
brew install cognis-digital/tap/policyforge                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/policyforge/main/install.sh | sh

Linux	macOS	Windows	Docker	Cloud
scripts/setup-linux.sh	scripts/setup-macos.sh	scripts/setup-windows.ps1	docker run ghcr.io/cognis-digital/policyforge	DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

• soc2box — SOC 2 evidence collector and control tracker, self-hosted
• gdprkit — GDPR/CCPA DSAR, RoPA, and cookie-consent toolkit
• vendorvet — Third-party / vendor risk questionnaires with SBOM cross-ref
• auditrail — Tamper-evident audit-log aggregator with hash-chained attestation
• frameworkmap — Crosswalk controls across NIST, ISO 27001, SOC 2, CMMC, PCI
• dpiaforge — DPIA and EU AI Act impact-assessment generator

Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram

Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.

⭐ If policyforge saved you time, star it — it genuinely helps others find it.

Interoperability

{} composes with the 300+ tool Cognis suite — JSON in/out and a shared OpenAI-compatible /v1 backbone. See INTEROP.md for the suite map, composition patterns, and reference stacks.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license ([email protected]). See LICENSE.

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