A board-level walkthrough of how RAXE observes AI traffic, application intent, and runtime behaviour, then converts it into a decision and an audit-ready evidence record.
Shadow AI detected
Sensitive data moves toward an unapproved AI service.
RAXE turns an invisible data-handling route into a governed event before it becomes a policy or sovereignty issue.
ESCALATE
Primary productAI Security Gateway
Leadership issueShadow AI and data sovereignty
01Business issue
What happened
The issue is not just a prompt. It is sensitive business data moving to a provider the company did not approve.
Browser AI -> unknown-llm-proxy.io
02Product coverage
Where RAXE sees it
Gateway sits at the network boundary and sees destination, provider status, traffic pattern, and policy route.
AI Security Gateway
03Detection logic
Why RAXE acted
Provider policy and content signals combine into a boundary violation.
Unapproved provider with sensitive content
04Operating model
What teams do next
Destination, provider status, action, policy, and escalation reason.
Finds: rogue AI workloads, spawned processes, container behaviour, unauthorised outbound AI traffic.
Next step
Put this in front of your team.
A thirty-minute walkthrough maps RAXE visibility, governance decisions, and the evidence output to the AI risk already on your board agenda. Pick a time that works.
Why now.
EU AI Act high-risk obligations apply from 2 Aug 2026
EU AI Act Service Desk.
DORA is already in force for EU financial entities
EIOPA.
Average data breach cost is $4.44M
IBM, 2025.