AI security visibility,
end‑to‑end.
Discover AI usage. Observe interactions. Investigate with evidence.
A loop built for security teams.
Five stages. From discovery to action.
Discover
Identify AI APIs across the org via reverse proxy, CASB, and Microsoft integrations. No self-reporting.
Observe
Continuously capture telemetry — requests, tokens, latency, user attribution.
Understand
Build context across users and models. Establish what normal looks like.
Identify
Flag events on detection rules. Track risks in the register. Prioritize what matters.
Act
Support investigation and IR with explainable evidence. Defensible decisions.
Security-first. Operational over experimental.
Visibility first
Understand before you enforce. You can’t secure what you can’t see.
Broad coverage
Reverse proxy, CASB (Cloudflare, Netskope, Zscaler), and Microsoft integrations.
Continuous monitoring
Real-time capture as calls happen. No periodic snapshots. No self-reporting.
Usage context
Every event attributed to user, provider, model, and ingestion source.
Explainable evidence
Reviewable records for investigations and reporting. Event details, alerts, audit logs.
Operational fit
Events, alerts, inventory, risk register, audit log — in one place.
Capabilities for security operations.
Not AI research. Practical, day-one capabilities.
AI usage discovery
- Sanctioned and shadow AI in use
- Map by user, team, and environment
- AI integrations in production systems
- Adoption trends over time
Model & interaction visibility
- OpenAI, Anthropic, Google providers
- Interaction frequency, volume, timing
- Data flow between users and models
- Correlate usage with business context
Usage pattern review
- Per-user event history with full context
- Filter/search by user, provider, model
- Detect volume and pattern anomalies
- Flag manually or via detection rules
Alert & risk management
- Alert categorization and severity
- Flag events for security review
- Risk register with ownership tracking
- Governance health on the dashboard
Investigation support
- Event details with request/response bodies
- Filter by user, time window, or incident
- Export for downstream review
- Audit log of every platform action
Reporting & compliance
- AI usage reports for compliance discussions
- Sanctioned vs. unsanctioned model usage
- Audit trails for security reviews
- Executive view of AI risk posture
Built to fit existing infrastructure.
See ModelSight in action.
30-minute walkthrough with a solutions engineer.