Skip to main content

AI governance control plane — compliance, inventory, incident response, and audit for AI agents

Project description

AIR Blackbox

The EU AI Act enforcement deadline is August 2, 2026. Scan your AI agent in 5 minutes. Get audit-ready evidence for four compliance frameworks from a single scan.

PyPI SDK Tests Python License: Apache-2.0 EU AI Act

Install

pip install air-blackbox

First scan in 30 seconds

air-blackbox comply --scan .

That's it. 48 checks across 6 EU AI Act articles + GDPR. No config, no API keys, no Docker.

Want the demo instead? Generate sample data and see everything in action:

air-blackbox demo

What you get

Article  9 (Risk Management):       3/5  (1 warn, 1 fail)
Article 10 (Data Governance):       3/5  (2 fail)
Article 11 (Technical Docs):        3/5  (1 warn, 1 fail)
Article 12 (Record-Keeping):        6/8  (2 warn)
Article 14 (Human Oversight):       8/9  (1 warn)
Article 15 (Robustness):            3/8  (4 warn, 1 fail)
GDPR (Data Protection):             8/8  (all pass)

Compliance: 34 passed  9 warned  5 failed  out of 48 checks

Run with -v to see fix hints for each failing check.

Every check tells you what's wrong and how to fix it. Run with -v for remediation guidance.

One scan, four compliance standards

Most compliance tools cover one framework. AIR Blackbox maps every check to four simultaneously:

air-blackbox standards
Category EU AI Act ISO 42001 NIST AI RMF Colorado SB 205
Risk Management Article 9 6.1, 6.1.2, A.6.2.1 GOVERN 1, MAP 1, MAP 3 Section 6(2)(a-b)
Data Governance Article 10 A.6.2.4, A.6.2.5 MAP 2, MEASURE 2 Section 6(2)(c)
Documentation Article 11 7.5, A.6.2.2 GOVERN 4, MAP 5 Section 6(2)(d), 6(3)
Record-Keeping Article 12 A.6.2.6, 9.1 MEASURE 1, MANAGE 4 Section 6(4)
Human Oversight Article 14 A.6.2.3 GOVERN 2, MANAGE 1 Section 6(2)(e), 7
Robustness Article 15 A.6.2.8, A.6.2.9 MEASURE 3, MANAGE 2 Section 6(2)(f)
Consent GDPR Art. 6/7 A.6.2.5, A.6.2.11 GOVERN 3 Section 5
Bias/Fairness Article 10 A.6.2.4, A.6.2.10 MAP 2, MEASURE 2 Section 2, 6(2)(c)

Filter by framework:

air-blackbox comply --frameworks eu,iso42001       # Just EU + ISO
air-blackbox comply --frameworks colorado           # Just Colorado
air-blackbox standards -f nist                      # NIST detail view
air-blackbox standards --lookup "Article 9"         # Reverse lookup

Choose your path

I want a quick compliance scan -- Use the CLI (you're here)

air-blackbox comply --scan . -v

I want runtime audit trails -- Add air-trust to your AI client

pip install air-trust
import air_trust
client = air_trust.trust(OpenAI())  # every call is now HMAC-SHA256 audited

I want human approval gates -- Add air-gate for tool-level oversight

pip install air-gate

I need auditor-ready evidence -- Export a signed bundle

air-blackbox export --format pdf

I use Claude Desktop or Cursor -- Install the MCP server

pip install air-blackbox-mcp

All commands

Command What it does
air-blackbox comply EU AI Act compliance scan with multi-framework crosswalk
air-blackbox standards Browse the 4-framework standards crosswalk
air-blackbox discover Shadow AI inventory + CycloneDX AI-BOM generation
air-blackbox replay Incident reconstruction from HMAC audit chain
air-blackbox export Signed evidence bundle (JSON or PDF) for auditors
air-blackbox validate Pre-execution runtime checks for agent actions
air-blackbox history Compliance score trends over time with diff
air-blackbox demo Zero-config demo with sample data
air-blackbox test End-to-end stack validation
air-blackbox setup One-command model install + verification
air-blackbox init Create compliance doc templates in your project
air-blackbox attest Create, sign, and publish compliance attestations
air-blackbox sign ML-DSA-65 key management and evidence signing

Framework trust layers

Drop-in compliance for your existing AI stack. No code changes beyond the import:

pip install air-blackbox[langchain]    # LangChain / LangGraph
pip install air-blackbox[crewai]       # CrewAI
pip install air-blackbox[openai]       # OpenAI Agents SDK
pip install air-blackbox[all]          # Everything

Auto-detected frameworks: OpenAI, Anthropic, Google ADK, LangChain, CrewAI, LlamaIndex, Haystack, AutoGen, Semantic Kernel, Smolagents, PydanticAI, DSPy, Browser Use, and more.

How it works

  1. Static analysis -- Scans your Python code for compliance patterns (error handling, logging, PII detection, human oversight gates, documentation)
  2. Hybrid AI analysis -- Optionally uses a local LLM (air-compliance model via Ollama) for deeper assessment beyond regex
  3. Runtime checks -- With trust layers installed, validates live AI traffic against EU AI Act requirements
  4. Evidence export -- Packages compliance results + AI-BOM + audit trail into a single verifiable document

Your code never leaves your machine. No cloud, no API keys, no vendor lock-in.

Why this exists

The EU AI Act (Regulation 2024/1689) requires organizations deploying high-risk AI systems to demonstrate compliance across Articles 9-15. Penalties reach 35M euros or 7% of global turnover. The first enforcement deadline is August 2, 2026.

Existing compliance tools are either manual checklists that take weeks, enterprise SaaS that costs thousands per month, or generic linters that don't understand AI-specific requirements.

AIR Blackbox is a developer tool that runs locally, scans in minutes, and produces audit-ready evidence. Open source, no vendor lock-in, and free.

Links

License

Apache-2.0. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

air_blackbox-1.10.0.tar.gz (210.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

air_blackbox-1.10.0-py3-none-any.whl (190.3 kB view details)

Uploaded Python 3

File details

Details for the file air_blackbox-1.10.0.tar.gz.

File metadata

  • Download URL: air_blackbox-1.10.0.tar.gz
  • Upload date:
  • Size: 210.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for air_blackbox-1.10.0.tar.gz
Algorithm Hash digest
SHA256 675dd1edf63a91d19d0a0942ee122cb5fb2412214294aac124f0a43f76cc5225
MD5 a86291f2abc0a636fc41c3c3005a540a
BLAKE2b-256 6bf8db1170d925c4f74b5443cf5ccb181b3e41b85f374bdd9588fe47d03105e4

See more details on using hashes here.

File details

Details for the file air_blackbox-1.10.0-py3-none-any.whl.

File metadata

  • Download URL: air_blackbox-1.10.0-py3-none-any.whl
  • Upload date:
  • Size: 190.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for air_blackbox-1.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aad9182063addc5399c254f6e8584f2376a6632beb5b5e8935a6ae3cdf051e91
MD5 f903a3f588264df1e85a415ef5aa014c
BLAKE2b-256 1c22c5934ef1cfbe75caf80ec7de3ec780b80521890ec64c9f6dcc861501a6f6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page