Autonomous AI agents will expose enterprise data at a scale no proxy can see. We're building the security layer that stops it — from inside the execution graph.
Your agents move data you can't see
LangGraph, CrewAI, and n8n flows pull from internal systems, chain tool calls, and compose prompts autonomously. No gateway sees what crossed between steps. By the time one string leaves, the sensitive fragments are already merged.
Privent embeds inside the execution graph
A native security node sits between your agent's tool calls and the external model. It reads the full runtime state: message history, tool outputs, accumulated context. Every data movement is visible and controlled before it leaves your infrastructure.
Sensitive data is transformed, not blocked
ACARS scores each payload across six signals. APE then tokenizes, substitutes, or re-routes accordingly. The model receives a coherent, safe version. Your pipelines run. Your data stays inside.
Deploy a lightweight sensor across ChatGPT, Claude, and Gemini in one MDM push — zero proxy, zero IT effort, zero disruption. For 30 days it scores every submission in real time, maps your full data risk surface, and builds the structured baseline your security team needs before committing to any autonomous pipeline.
From the first prompt your employees type to the last tool call your agents make — Privent secures every point where enterprise data meets AI.
Autonomous pipelines pull from internal systems and compose prompts with no human in the loop. Privent embeds as a native node inside LangGraph, CrewAI, and n8n - intercepting data before it reaches any external model.
Agents with access to internal tooling routinely surface secrets in tool call arguments and prompt context. Privent detects high-entropy tokens, connection strings, and key prefixes before they leave your infrastructure.
Know what data your employees are sharing with AI tools before your autonomous pipelines inherit it. A 30-day silent assessment returns a structured picture of every data category flowing into ChatGPT, Claude, and Gemini — no disruption, no blocked prompts.
Every detection event is logged with risk signals, category, decision, and timestamp - no raw prompt stored. Exportable evidence for GDPR, HIPAA, and EU AI Act reviews without exposing sensitive content.
Sensitive context accumulated across agent steps - customer records, internal configs, strategic data - can leak into inter-agent messages. Privent reads the full session state and controls what crosses agent boundaries.
Built for security. Designed for zero friction.
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7 questions,
answered directly.
These are the real questions we get from security leads, engineering managers, and compliance officers evaluating Privent.