Semantic DLP for regulated industries
Parsifer identifies, tracks, and documents where your sensitive content meets AI. It is an external check on AI systems — not an AI wrapper — built for compliance investigation and audit.
What Parsifer does
Detect
Creates a semantic fingerprint of your protected content and checks AI outputs for material that is meaningfully similar.
Document
Records an audit trail of every check — what was compared, when, and the result — as evidence your compliance team can act on.
Govern
Applies your access rules and relevant regulatory guidance to sensitive assets, with logging aligned to your policies.
Precise about what it proves
What a match means
Parsifer flags outputs that are semantically similar to your source material, providing a starting point for investigation. A match indicates similarity worth looking into — it does not by itself prove how or when a model acquired the material. We keep that distinction explicit, because regulated buyers value precision over hype.
What it covers today
Available now Text — articles, research, reports, source documents, and other written material.
In development Images, video, and voice — actively being extended.
Try it on your own content
Transparency in action
Why Parsifer is a game changer
There’s a lot of hype about GenAI. You might even be under the impression that there are solutions out there to protect your data. Solutions like watermarking, bot trackers, stylometry and firewall security are useful but they dance around the edges of deeper problems – the extremely difficult technical challenges – of identifying the data used to train AI models, how your employees are making decisions off of AI analysis of your proprietary trade secrets. After that data has been sliced, diced and regurgitated by the AI, what happens to it? No one else is tracking and tracing the AI usage of your information – except Parsifer.