arangateRemember what came before.
Carry relevant session history forward, so earlier actions inform the next security decision.
Stateful runtime enforcement
Every action.
In context.
Under control.
Security decisions that account for what your AI agent is doing—and what it has already done.
Talk to the teamRuntime security for agentic AI
AGENT SESSIONILLUSTRATIVE
Task contextCustomer support workflow
- 01
Read customer record
Sensitive data enters the session.
Context retained - 02
Prepare external request
Destination falls outside the trusted boundary.
Action evaluated - 03
Enforce policy
Use the session context to decide whether the action can proceed.
Outbound action blockedSensitive context → untrusted destination
01 Retain session context02 Evaluate the next action03 Enforce at runtime
Security that follows the task
An action is only
part of the story.
Agents move between tools, data, and decisions. Arangate brings the context of that journey to the point where an action happens.
Evaluate the whole situation.
Consider the current action alongside the task, the data involved, and the destination.
Put policy into action.
Apply security boundaries at runtime, when an agent is about to interact with a tool or move data.
Let’s talk agent security
Autonomy.
With boundaries.
Tell us what your agents are building.
Let’s talk about keeping their actions under control.
Talk to the team
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