AI governance for regulated industries
Detect proprietary data in AI outputs — and document what happened.
Parsifer creates semantic fingerprints of your sensitive content, checks AI outputs for meaningful matches, and records an audit trail for compliance investigation. An external check on AI systems — not an AI wrapper.
Built for compliance, data-governance, security, and AI-risk leaders in regulated organizations.
Why it matters
AI-induced risk is real and present
Independent research on what is already happening inside organizations.
223 → 2,100
Policy violations / month
Average organization vs. top-quartile organization.
42 · 32 · 16%
Types of data leaked
Source code · regulated data · intellectual property.
62%
Employees using AI
Entered internal process information into AI tools.
Sources: Moody’s Risk and Compliance 2025 Survey; Netskope 2026 Cloud and Threat Report; Cisco 2026 Data Privacy Benchmark Study.
Our solution
An external check on AI — with a record you can act on
Parsifer flags outputs that are semantically similar to your protected source material and keeps an audit trail of every check — giving compliance teams evidence to investigate.
What a match means: a match indicates similarity worth investigating. It does not by itself prove how or when a model acquired the material — and we say so plainly, because credibility matters more than hype.
See Parsifer on your own content
Book a scoped enterprise demo, or open the live demo environment to try the text-analysis tool now.