Third-Party AI Governance
Visibility and control over third-party AI sprawl
Discover all the AI across your vendor ecosystem, approved or not. Understand the exposure, monitor what changes, and take action.
AI adoption isn't waiting on security
New AI tools are entering the organization. Existing vendors are adding AI capabilities. Products approved for one use are introducing new models, agents, subprocessors and data practices.
Approved AI that changed
You approved use of AI. The vendor has since changed models, added capabilities, or changed how your data is used.
AI added to an approved tool
You approved the vendor for something else. The AI came later and was never assessed.
AI in a tool nobody approved
It arrived through SaaS, browser extensions or OAuth grants without any review.
COMPLETE VISIBILITY
Understand AI type, capabilities, and access
Automatically detect AI capabilities, such as agentic behavior, code execution, MCP, and web access. Drill down into how the AI is being used, including its intended and approved use.
CONCENTRATION RISK
See the model providers behind your vendors
Map the providers behind your vendors and see where shared dependencies create portfolio-level exposure.
FORENSIC AI ASSESSMENTS
Validate what your vendors are telling you
Validate vendor claims and collect evidence without relying on vendor assertions alone.
Assess AI vendors against AI-specific controls, with out-of-the-box frameworks like NIST AI RMF or a custom framework of your choice.
CONTINUOUS MONITORING
Know when your AI exposure changes
Know when new AI appears, vendors add AI capabilities, introduce new model providers, change how they use your data, enable autonomous capabilities, or expand beyond the approved scope.
