Employees adopt AI tools at a pace security teams can't keep up with. ChatGPT plugins, coding assistants, AI-powered SaaS, browser extensions — each one is a potential data leakage vector that your DLP and CASB tools weren't built to see.
Kovral combines passive network analysis, SaaS scanning, and endpoint signals to build a complete picture of AI usage across your organisation.
Kovral maintains a catalogue of 800+ AI service endpoints. Passive analysis of DNS queries and proxy logs surfaces every AI tool in use — including tools routing around your proxy via mobile or VPN.
Read-only OAuth connections to Google Workspace, Microsoft 365, and Slack reveal every AI-powered app your employees have authorised. We see the app name, connected accounts, and permission scopes.
AI API calls have distinctive traffic patterns (token streaming, large payload sizes, specific endpoints). Kovral fingerprints these patterns to detect novel AI services even before they appear in our catalogue.
Every discovered tool is added to the AI inventory with metadata: who uses it, how often, what data categories it touches, and the risk score. The inventory updates in real time.
Discovery isn't just a list — it's actionable intelligence about which tools pose the most risk to your organisation.
Every AI tool in use appears in the inventory — name, vendor, category, user count, first seen, last seen, and data sensitivity estimate.
Each tool is automatically risk-classified based on vendor security posture, data types accessed, geographic data handling, and compliance certifications.
Apply your organisation's acceptable use policy to each tool with one click — approved, conditionally approved, or blocked. Kovral enforces the decision at the proxy level.
New tools trigger an immediate alert. Tool behaviour changes (e.g. a vendor updating their data retention policy) trigger a re-evaluation notification.
