AI risk begins when the agent leaves the chat window.
Models now call tools, query systems, and trigger workflows. Most controls stop at the prompt or the provider request. That leaves teams blind to what an agent actually attempted, what executed, and where the resulting traffic went.
See and govern where AI traffic goes.
Shadow AI and unmanaged provider usage create blind spots that leadership cannot defend in a review. The Gateway sees every provider route, destination domain, and policy boundary across managed and unmanaged AI traffic. It detects unapproved endpoints and flags policy drift before exposure grows. Security teams get the evidence to approve, restrict, or investigate usage without changing application code.
See what the agent is actually trying to do.
Risky tool calls happen after the prompt, where most controls have no visibility. The SDK instruments the application layer to see the tool name, arguments, permissions, and session context behind every agent decision. It detects sensitive data access, privilege misuse, and unapproved actions at the point of intent. Teams get the context to review, approve, or block before the action completes. Deploy with pip install raxe.
See what actually executes on the machine.
Unknown AI workloads running on hosts and containers create risk that application-level controls cannot see. The Host Sensor monitors the process chain, workload identity, file access, and network egress at the machine level. It detects unapproved containers, suspicious execution patterns, and data leaving the environment. Investigation teams get the machine-level record that closes the gap between agent intent and what actually executed.
Where did traffic go?
See providers, routes, domains, and policy boundaries for managed and shadow AI usage.
What did the agent try to do?
See prompt context, tool intent, arguments, permissions, and session-level escalation.
What actually executed?
See workloads, process chains, file access, and egress after the model decision becomes runtime behavior.
Known threats, ambiguous actions, novel behavior. One verdict with the context to act.
RAXE evaluates each AI action against known policy issues, scores ambiguous intent, and flags novel behavior that has not been seen before. These signals combine into one governed decision with the rationale, posture, and evidence needed to investigate or act.
Every decision arrives with evidence and rollout context.
Every verdict includes identity, explanation, and rollout context. That gives teams a path from visibility to enforcement without breaking adoption or forcing them into a big-bang security rollout.