CISO / IT security
The last line of defense for the AI you can't see.
Your policies and DLP don't cover what goes into ChatGPT: a prompt isn't a file, it escapes inspection. Safe-Doc neutralizes data at the source : before it leaves the endpoint. Data-centric, operation logs, and no new attack surface: zero storage, nothing new to audit with a third party. Keep your controls. Add the layer that catches what slips through.
What Safe-Doc adds to your governance
Defense in depth
Neutralizes sensitive data before any third-party model. Complements your policies and DLP : does not replace them.
No new attack surface
Zero document storage. Nothing new to audit with a third party, nothing to retrieve if you leave.
Auditability
Operation logs and residual risk indicators on every treatment. Traceability without retaining content.
Interim tool
Secure AI usage while the group project progresses.
No need to wait for the enterprise platform to cover Shadow AI: Safe-Doc plugs in in MINUTES, with no model lock-in, compatible with the group/company roadmap ahead.
Objection : "We're waiting for the group IT solution."
Safe-Doc deploys in MINUTES and secures existing usage while the group project progresses, and stays useful afterwards, whatever AI is chosen.
Architecture
Safe-Doc is a data-centric layer: ephemeral processing, systematic purge, encrypted mapping under user control. Your AI queries never transit our servers.
Who builds Safe-Doc
Safe-Doc is built by an AI and cybersecurity engineer who came through Thales and Orange, and led by a former CIO: two people who know both the reality of running IT and where data leaks actually happen, and how to stop them without breaking workflows. The product is designed to fit your defensive stack, not to bypass it.