Cspm

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

🔎 Example output

Real, reproducible output from the tool — runs offline:

$ cspm-emit --version
cspm 0.1.0

$ cspm-emit --help
usage: cspm [-h] [--version] {scan} ...

Cloud security posture from a config export (defensive triage).

positional arguments:
  {scan}
    scan      Scan a config export for posture findings.

options:
  -h, --help  show this help message and exit
  --version   show program's version number and exit

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

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

{
"findings": [
    {
        "id": "1234567890",
        "title": "Suspicious Network Traffic",
        "description": "Potential malicious activity detected on port 443.",
        "created_by": "cspm-tool",
        "created_at": "2023-02-20T14:30:00Z"
    },
    {
        "id": "2345678901",
        "title": "Unusual Login Attempt",
        "description": "Failed login attempt from an unknown IP address.",
        "created_by": "cspm-tool",
        "created_at": "2023-02-20T14:31:00Z"
    }
]
}

Usage — step by step

1. Install the CLI (Python 3.9+):

   pip install cspm           # or: pip install .   from a checkout
   

2. Scan a cloud configuration export — the scan subcommand evaluates posture checks against config you own (no live cloud calls):

   cspm scan export.json
   

   The table view groups findings by severity (CRITICAL/HIGH/MEDIUM/LOW/INFO) with a recommendation per finding.

3. Produce a shareable HTML report or machine-readable JSON:

   cspm scan export.json --format html > posture.html
   cspm scan export.json --format json > posture.json
   

4. Read the result — parse the summary for triage:

   cspm scan export.json --format json | jq '.summary.by_severity'
   

5. Gate CI on posture — surface high-severity findings on every config change:

   cspm scan export.json --format json | jq -e '.summary.by_severity.CRITICAL == 0'
   

Contents

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

Why cspm?

Cloud security posture from a config export (public buckets, open SGs, weak IAM) — without standing up heavyweight infrastructure.

cspm 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

• ✅ Load Config
• ✅ Scan
• ✅ Summarize
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

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

Example

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

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  IN[target / manifest] --> P[cspm<br/>checks + rules]
  P --> OUT[findings (JSON / SARIF)]

Use it from any AI stack

cspm is interoperable with every popular way of using AI:

• MCP server — cspm mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
• OpenAI-compatible / JSON — pipe cspm 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 cspm	typical tools
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

Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (cspm 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/cspm.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/cspm.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/cspm.git" # uv
pip install cognis-cspm                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/cspm:latest --help        # Docker
brew install cognis-digital/tap/cspm                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/cspm/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/cspm	DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

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 cspm 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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