TOKENVAULT

Self-hostable PCI tokenization microservice and CLI that swaps PANs for format-preserving tokens and proves no raw card data persists.

Fintech & Payments Security — PCI, fraud, AML, and payment rails.

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

Usage — step by step

1. Install the CLI (console script tokenvault):

   pip install cognis-tokenvault

2. Scan for cardholder data — scan detects PANs and exits 2 if any are found (a CI gate); pass - to read stdin:

   tokenvault scan payments.log

3. Tokenize — swap each PAN for a format-preserving token, keeping the leading BIN (--keep-bin, default 6) and writing the redacted copy with -o:

   export TOKENVAULT_KEY='super-secret-key'
   tokenvault tokenize payments.log -o payments.redacted.log --vault vault.json

4. Detokenize / read the audit trail — reversing a token is audited (detokenize); export the trail as JSON for your SIEM:

   tokenvault detokenize 4532015199999704 --vault vault.json
   tokenvault audit --vault vault.json --format json

5. Automate in CI — fail the build if raw card data is committed (scan returns exit 2 on a hit):

   - run: pip install cognis-tokenvault
   - run: tokenvault scan src/  # nonzero exit blocks the merge

Contents

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

Why tokenvault?

Format-preserving encryption (FF3-1) tokenization as a single binary you can run in CI tests shrinks PCI scope; the 'detokenize-audit' command produces an access trail auditors love.

tokenvault 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.

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Features

• ✅ Luhn Check
• ✅ Luhn Check Digit
• ✅ Mask Pan
• ✅ Detect Pans
• ✅ Tokenize Pan
• ✅ Detokenize Token
• ✅ Load Key
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

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Quick start

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

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Example

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

  2 findings · risk score 5 · 38ms

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Architecture

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

Loading

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Use it from any AI stack

tokenvault is interoperable with every popular way of using AI:

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

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How it compares

	Cognis tokenvault	Vault Transit
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 Vault Transit / Basis Theory, re-framed the Cognis way. Missing a credit? Open a PR.

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Integrations

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

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Install — every way, every platform

pip install "git+https://github.com/cognis-digital/tokenvault.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/tokenvault.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/tokenvault.git" # uv
pip install cognis-tokenvault                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/tokenvault:latest --help        # Docker
brew install cognis-digital/tap/tokenvault                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/tokenvault/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/tokenvault	DEPLOY.md (AWS/Azure/GCP/k8s)

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Related Cognis tools

• panhound — Scans code, logs, fixtures, and S3 buckets for leaked PANs (Luhn-validated card numbers) and CVVs before they hit prod.
• fraudlens — Replays a stream of transactions against pluggable fraud rules and ML scorers, emitting precision/recall and alert volume from the terminal.
• obscan — Conformance and security linter for Open Banking / FAPI APIs: validates OAuth flows, consent scopes, and PSD2 endpoints against the spec.
• ledgerproof — Verifies double-entry ledger integrity and tamper-evidence by checking balance invariants and hash-chained journal entries.
• iso20022 — Validates, lints, and diffs ISO 20022 / pacs / camt payment messages and translates legacy MT into MX with schema-aware errors.
• sanctscan — Screens counterparties and transactions against OFAC/EU/UN sanctions lists with fuzzy name matching and explainable hit scoring.

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

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Contributing

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

⭐ If tokenvault 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 (licensing@cognis.digital). See LICENSE.

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_{Cognis Digital · one of 170+ tools in the Cognis Neural Suite · Making Tomorrow Better Today}