Privent embeds as a native node inside your execution graph. It reads full agent state, scores risk in context, and transforms data before it reaches external models. Zero orchestration changes.
Agent executes
Your pipeline runs. Tool calls happen. Data moves through nodes autonomously. LangGraph, CrewAI, n8n flows pull from internal systems, chain tool calls, and compose prompts, with no human in the loop and no gateway watching what crosses between steps.
Privent intercepts
PriventSecurityNode sits between your agent's tool calls and the external model. It reads full agent state: message history, tool outputs, accumulated context, complete graph state. ACARS computes a risk score across 6 weighted signals, in context, not in isolation.
Data transforms, workflow continues
APE dynamically composes a protection response based on risk level. Sensitive data is tokenized, semantically substituted, or structurally fragmented. The model receives a coherent, safe version and continues. No blocks. No disruption.
Agentic Context-Aware Risk Scoring Algorithm
6 weighted signals computed simultaneously, in full context of the agent session.
Adaptive Protection Engine
6-stage composition, dynamically applied by risk level. Zero workflow disruption.
Traditional DLP tools and AI gateways treat data as binary: block or allow. Privent understands context.
We integrate in under 30 minutes. No orchestration changes required. Your pipelines keep running. Privent keeps watching.
