AI Attack Surface Detection for the Enterprise
SIEM-native detection of AI services, shadow AI, and MCP servers — no new agents required.
Capabilities
Map and detect your AI attack surface
Discover what your SIEM misses. Surface AI services, model endpoints, and prompt injection vectors across your environment.
AI Service Discovery
Automatically enumerate AI services, model endpoints, and API integrations running across your infrastructure.
Shadow AI Detection
Identify unauthorized AI tool usage, unsanctioned LLM calls, and unmanaged model deployments before they become risk.
MCP Server Mapping
Discover Model Context Protocol servers and their tool registrations to understand what AI agents can access.
SIEM-Native Detections
Generate detection rules for Splunk, Microsoft Sentinel, and other platforms — no new agents or forwarders required.
Attack Surface Mapping
Visualize AI data pipelines, prompt injection vectors, and model supply chain dependencies in a single pane.
Open Source
Core detection logic is open source. Inspect every rule, contribute detections, and integrate with your existing security stack.
Ready to map your AI attack surface?
Get started with open-source detection rules or talk to us about enterprise deployment.