AI Exposure Intelligence
Bring emerging AI exposure into view.
Extend the exposure conversation to externally reachable AI services, RAG endpoints and agent-related risks.
THE BUSINESS EXPOSURE
A clearer picture of external risk.
Business teams can introduce AI services faster than governance and security inventories adapt. Security leaders need to know which AI-related interfaces are visible and which questions require deeper validation.
Discuss your exposureCAPABILITY & WORKFLOW
Evidence your team can use.
AI service visibility
Investigate externally discoverable AI-related services within the agreed asset scope.
RAG and agent context
Identify relevant interfaces and dependencies for focused security review.
Exposure prioritisation
Relate AI signals to business use, data sensitivity and evidence confidence.
Governance handoff
Give security and AI owners a documented starting point for assessment and remediation.
Help AI and security teams discuss external exposure using a shared evidence base.
PRACTICAL QUESTIONS
Before we scope it.
Coverage, validation depth, integrations and response responsibilities are agreed for your environment.
Is this a complete model safety assessment?
No. External AI exposure intelligence does not replace model evaluations, internal AI governance or application security testing.
Which AI capabilities are available for our deployment?
Coverage depends on the use case, environment and deployment scope. Confirm the required interfaces and validation depth in your demonstration.
PART OF ONE PLATFORM
Connect this signal
with the wider picture.
YOUR NEXT STEP
Make this exposure visible.
Bring your domains, brands and business priorities. We’ll discuss the external exposure that matters to your organisation.