AIR Blackbox
An open-source scanner that checks whether your AI agent's code actually complies with the EU AI Act, instead of guessing or hiring a consultant.
🔗 Visit AIR Blackbox
Description
The EU AI Act now imposes real technical requirements on companies deploying AI agents — record-keeping, human oversight, risk management — and one widely-cited scan found that 97% of AI agent codebases fail to meet them. Most teams building with LangChain, CrewAI, or similar frameworks have no easy way to check where their own code stands. AIR Blackbox is an open-source command-line tool that scans a codebase and tells you exactly which of the Act's technical articles you're failing, and why.
It runs 51 checks (44 static code checks plus 7 runtime checks) covering six EU AI Act articles, and produces a tamper-evident audit trail using cryptographic signing (HMAC-SHA256, with post-quantum ML-DSA-65 signing available) so the compliance report itself can't be quietly altered after the fact. It ships trust-layer integrations for major agent frameworks (LangChain, CrewAI, Claude Agent SDK, OpenAI SDK, Google ADK, AutoGen, Haystack) and can run entirely offline with no API keys, which matters for regulated industries wary of sending code or logs to a third party. The core CLI is free and open-source (installable via pip, Apache 2.0 licensed); a $299/month Pro tier adds a managed VPS and a fine-tuned local model, and Enterprise offers custom air-gapped deployments.
💬 Our review
The short version: if you're shipping an AI agent into production in or around the EU and have no idea whether it meets the AI Act's record-keeping and oversight requirements, running the free open-source scan costs nothing and gives you an actual checklist instead of a vague sense of risk.
Against commercial AI-security platforms like Arthur AI, Lasso Security, or Lakera Guard, which mostly focus on filtering malicious inputs and monitoring runtime behavior, AIR Blackbox's angle is different and complementary — it's about proving compliance after the fact through tamper-evident audit trails, not stopping attacks in real time. That makes it less of a like-for-like alternative and more of a specific tool for a specific problem: generating documentation a regulator or auditor would actually accept. As an open-source project from a young company, the free CLI is genuinely useful on its own, but the $299/month Pro tier (managed infrastructure, fine-tuned local model) is a real jump in price for a scope still narrower than what large compliance vendors offer — worth it mainly for teams that specifically need the offline, no-API-key guarantee for regulated data.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit : CLI open-source via pip, 51 vérifications. Pro : 299$/mois (VPS managé + modèle IA local affiné). Enterprise : sur devis (déploiement air-gapped / on-premises).
Pros
Outil open-source le plus large dédié à la conformité AI Act (écosystème de 11 packages PyPI)
Fonctionne entièrement hors ligne, sans clé API ni dépendance cloud
Piste d'audit inviolable avec signature cryptographique (y compris post-quantique)
Intégrations dédiées pour les principaux frameworks d'agents (LangChain, CrewAI, Claude Agent SDK...)
Cons
CLI gratuite limitée à 51 vérifications sans infrastructure managée
Palier Pro à 299$/mois nécessaire pour le modèle affiné et le VPS managé
Projet jeune comparé aux éditeurs de conformité établis
Périmètre limité aux agents et frameworks Python