Tabsec AI Agent Detection and Response
Tabsec is endpoint-native AI Detection and Response for organizations that need to discover, inventory, and assess the risk of AI agents — and the configuration surfaces that steer them — running across enterprise hosts, then respond through their existing stack.
Tabsec at a glance
- Endpoint-native AIDR from native host telemetry
- Agent surfaces including coding agents, agent configuration and memory artifacts, MCP client configs and server entries, skills, hooks, plugins, SDK agents, local model runners, and agentic automation
- Semantic risk assessment of agent-surface content: evidence-backed findings mapped to MITRE ATLAS, signals not verdicts, readable by your own agents over MCP
- Host evidence including process lineage, user identity, libraries, configuration, credentials, and telemetry
- Response-ready findings for webhook routing and SIEM/SOAR export
How Tabsec Helps
Tabsec collects native endpoint telemetry, discovers and inventories agent surfaces, correlates them with process lineage and identity evidence, assesses the risk of agent-surface content with evidence-backed findings, and routes those findings through webhook routing and SIEM/SOAR export.