We believe every AI decision in a regulated industry should have an immutable, auditable record.
AI agents are making thousands of critical decisions daily in finance, healthcare, and pharma — approving loans, summarizing patient records, generating trial reports. But when regulators ask "what did your AI do?", most teams have no answer. We started Breach Intel to fix that.
Give every AI agent an audit trail that can't be erased. We build the infrastructure layer between your AI agent and regulatory accountability — logging every compliance violation with cryptographic proof, without changing a single line of your agent's code.
A world where deploying an AI agent in a regulated industry automatically comes with tamper-evident compliance logging — just like deploying a web app comes with HTTPS. Compliance should be infrastructure, not overhead.
If it happened, it should be provable. We build systems that make AI behavior auditable by default.
Tamper-evident by design. Every record cryptographically chained. Trust through math, not policy.
Three commands. Zero code changes. If compliance requires a rewrite, nobody will adopt it.
The community edition is free forever. Core compliance tooling should be accessible to all.
We saw AI agents deployed in fintech platforms giving unauthorized financial advice, healthcare bots exposing protected health information, and pharma agents generating trial reports with fabricated data points — all with zero audit trail.
The existing solutions were either guardrails (which only prevent, not prove) or manual audit processes (which are slow, incomplete, and can't scale). Neither answers the question regulators actually ask: "Show me what your AI did, and prove the record hasn't been tampered with."
So we built Breach Intel — a policy agent that attaches to any AI agent via Python's import system, classifies every response in under 1ms, and logs breaches to a SHA-256 hash chain. No code changes. No middleware. No compliance theater. Just cryptographic proof of everything your AI agents do.
A small, focused team building compliance infrastructure for the AI agent era.
Building policy agent infrastructure at the intersection of AI, compliance, and security. Contributing to OpenClaw.
Performance engineering and AI agent frameworks. Built SuperFastClaw — the Go-native OpenClaw runtime.
AI agent security and compliance infrastructure. Building tamper-evident audit systems for regulated industries.
We're looking for engineers passionate about AI safety, compliance tooling, and developer experience.
→ Get in touch12 breach types, SHA-256 hash chains, live dashboard, and auto-instrumentation for OpenAI + Anthropic + LangChain.
28 additional breach types covering HIPAA, 42 CFR Part 2, FDA 21-CFR-11, ICH-E6, and ICH-Q10.
Plugin hooks into the largest open-source AI agent framework — bringing breach detection to the OpenClaw ecosystem.
breach-intel-client v0.3.1 available via pip. Zero-friction install with persistent auto-instrumentation hook.
Expanding beyond Python, adding ML-based detection, and automated compliance report generation.
Whether you're interested in the product, a partnership, or joining the team — we'd love to hear from you.