Know your AI risk surface before your agents inherit it.
Before you deploy autonomous pipelines, you need to know what your employees are already sharing with AI tools. Privent's 30-day assessment runs quietly in the background — no disruption, no blocked prompts — and returns a structured picture of every data category flowing into ChatGPT, Claude, and Gemini across your organization. Understand your exposure now, so your agents don't inherit it later.
Deploy silently across your organization
The Privent browser extension deploys via MDM in minutes. No employee-facing change. No prompts blocked. No friction. It observes every submission to ChatGPT, Claude, and Gemini and scores it in real time using the ACARS 6-signal engine.
Every AI interaction is scored and categorized
Each prompt is analyzed across six signals — regex, NER, embedding, semantic, retrieval, and structural. Risk category (PII, financial, source code, legal, strategic) and score are recorded per event, per deployment group, per user role.
30-day report surfaces your full exposure
After 30 days, your team receives a structured Enterprise AI Risk Report: which data categories are moving, which departments are highest-risk, and what policy configuration would address the exposure. No raw prompts retained.
CTOs and VPs of Engineering planning agentic deployments who need a data-driven risk baseline before their pipelines go live.
Security leaders at financial, healthcare, and legal organizations who need structured evidence of AI data handling before board-level AI adoption decisions.
IT leaders rolling out Copilot, ChatGPT Enterprise, or internal LLM tooling who need to understand the risk surface they're inheriting.
We integrate in under 30 minutes. No orchestration changes required. Your pipelines keep running — Privent keeps watching.
