Turn your AI rules into evidence.
Regulators and auditors now ask how AI is used with company data. JanusTB enforces your rules on every request and keeps the record you need to answer.
Which AI tools are used?
Most companies cannot list the AI tools and providers that receive their data.
What data was sent?
Without a control point, there is no record of what left, or when.
Under which rule?
Policies written in a document do not prove that they were applied.
Evidence bundle
A PDF of decisions, policies and models for a given period — ready for your auditor.
SIEM export
Pull audit events as paginated NDJSON with a dedicated, read-only key. Exports never include prompt text or secrets.
Central policies
Rules per role and per data classification, applied the same way to apps, agents, RAG and employees.
Named identities
Single sign-on with Google Workspace and Microsoft Entra ID, so every event has a real user behind it.
Data minimisation and security of processing: personal data can be redacted or blocked before it reaches an AI provider, and each decision is recorded.
For financial entities since January 2025: visibility and control over ICT third-party providers — AI providers included — with an exportable audit trail.
Being transposed into French law, NIS2 extends cybersecurity risk management to thousands of companies. Data sent to AI is part of that risk surface.
Transparency duties apply from August 2026 and high-risk obligations from December 2027. A record of which AI systems receive which data is a solid starting point.
- A record of AI usage you can hand to an auditor
- Rules that are applied, not just written
- Faster answers to security questionnaires and audits
Good to knowJanusTB helps you enforce and document your rules. It does not by itself make your organisation compliant with any regulation.
See it on your own data flows.
A 30-minute demo with the founders, on the use case that matters to you.