Three layers of protection.
AI Security
Inventory every agent, model, RAG, & MCP. Detect each one's permission reach. Block the over-scoped agent before it ships — enforced in CI/CD.
Accelerate AI adoption. Safe, governed.
Data Security
Classify sensitive data, watch it in motion, and block it before it leaks — Adaptive DLP that enforces right at your gateways.
Leakage prevented, not investigated.
Privacy
Auto-generate ROPAs and data maps current from live flows. Automate Consent, Assessments, and DSRs end-to-end. Enforce privacy by design in CI/CD.
Always audit-ready, never scrambling.
Real-time data flow intelligence. Code to cloud to AI.
The Data Exposure Graph connects data sensitivity, identity permissions, and AI agent behavior to surface compounding threats that only emerge when you understand the full context.
How it works — three simple steps
Map
Every surface, agentless.
Agentless coverage across code, cloud, data warehouses, identity providers, AI platforms, SaaS, and observability — GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, Datadog, and 100s more.
Detect
Compounding and lateral risk.
Data Journeys™ graph maps every path, continuously, with complete business process context to detect issues.
Enforce
Concrete recipes, complete context.
Guardrails, enforcement, blast-radius, and evidence — all from the same graph.
Intent
Reach
Touch
Sensitivity
One graph. Every path to your data.
Agentless scanning, embedded in CI/CD.
APM, logs, traces & spans, in context.
Models, agents, MCPs & RAGs — 1st & 3rd party.
Structured & unstructured, petabyte scale.
Human & non-human risk, correlated to data.
Vendor exposure across 100s of SaaS apps.