AI Security & Governance

Shadow AI Discovery

Employees are using AI tools whether your organization has approved them or not. Browser-based AI assistants, IDE copilots, unsanctioned SaaS GenAI applications, and MCP-connected tools are already in your environment, and most organizations have no visibility into what data is flowing to them. We surface the full landscape of AI tool usage across your organization, map the data exposure risk, and help you build a governance posture that is both enforceable and practical.

• AI tool and model inventory (SaaS GenAI apps, browser extensions, IDE copilots, MCP servers)
• OAuth, API egress, and DNS telemetry analysis for unsanctioned LLM traffic
• Data-flow mapping to AI systems and sensitive data exposure analysis
• Risk classification: safe / restricted / prohibited AI tool triage
• Shadow AI amnesty and disclosure program design
• Ongoing monitoring and alerting for new AI tool adoption
• Policy development for sanctioned and unsanctioned AI use