Ask your dashboards
Natural-language questions answered from your own scan results — the same
per-user data the dashboards below render. Nothing from another tenant is ever read.
What are my highest-risk red team failures?
Which third parties is my web app leaking data to?
Who triggered the AI calls that touch PII?
Summarise my overall AI security posture.
Security Products
AI Security Control Plane
Executive summary & risk overview
AI Bill of Materials
Compiled from your completed scans · models, frameworks, MCP servers, coding agents
Data and AI Usage Policy Upload
Web Application Execution
Scan web apps for AI exposure risks
Shadow AI Cloud Scanner
Scan cloud-hosted AI workloads for security & compliance risks
Aggregated AI Cloud Scan
One cross-cloud AI inventory: AWS, Azure, GCP, Kubernetes, on-prem & ServiceNow
Shadow AI Local Scanner
Scan a Windows machine's filesystem for models, code, containers & loose credentials
Shadow AI Code scanner
Trace AI model execution paths in code repositories
Model Invocation Intelligence
Analyse ML model training & inference risks
External Boundary
Monitor external-facing AI endpoints & APIs
Multi-Agent Red Teaming
Adversarial probing & vulnerability testing for AI systems
HuggingFace ZASP
Score HuggingFace models you call & the code that calls them
Code ↔ Runtime Correlation
Cross code findings with live AI telemetry & IAM identities — what is leaking, who wrote it, who triggered it
Autonomous Workflow Intelligence
Inspect agentic pipelines & chatbot behaviour