Real-time behavioral detection for non-human identity threats.
Detect threats that traditional security tools miss entirely. Purpose-built for NHIs and AI agents.
The identity threat detection challenge
SIEM and XDR tools were built for human endpoints. They have no context for machine identity behavior.
Traditional SIEM/XDR tools miss non-human identity threats
Purpose-built detection for NHI and AI agent behavioral anomalies
Alert fatigue from too many false positives
Prioritized risk scoring reduces noise and highlights real threats
Shadow AI agents operating without security awareness
Automated shadow agent and rogue MCP server detection across your infrastructure
Slow manual investigation and response to NHI threats
Automated response actions with playbooks that execute in seconds
How TIDR detects and responds to identity threats
A continuous four-phase cycle that goes from baselining through automated response.
Baseline
Automatically build behavioral baselines for every NHI and AI agent in your environment
Detect
Continuously monitor for anomalies, shadow agents, rogue servers, and suspicious behavior
Investigate
Correlate alerts with full context including identity details, access logs, and risk scores
Respond
Execute automated or analyst-approved response actions to contain and remediate threats
Architecture
Every identity decomposed into its threat surface.
TIDR evaluates permissions, active relationships, credential exposure, and behavioral signals simultaneously to produce a live risk score, not a quarterly report.
Purpose-built for non-human identity threats.
Baselining, anomaly detection, shadow agent discovery, and automated response. Unified in one platform.
Behavioral Baselining
Build detailed behavioral profiles for every NHI and AI agent based on normal access patterns, timing, and resource usage.
Anomaly Detection
Detect deviations from established baselines including unusual access patterns, abnormal API usage, and credential misuse.
Shadow Agent Detection
Identify unauthorized AI agents operating in your environment before they access sensitive resources or data.
Rogue MCP Server Detection
Detect unauthorized MCP servers that could be used to intercept agent communications or exfiltrate data.
Alert Correlation
Correlate alerts across identities, environments, and time windows to identify coordinated attacks and reduce noise.
Automated Response
Execute pre-defined response playbooks automatically when threats are detected, from credential rotation to full access revocation.
SOC/SIEM Integration
Feed enriched alerts into your existing SIEM, SOAR, and SOC workflows with full context for faster investigation.
Prioritized Risk Scoring
Score threats based on identity privilege level, asset criticality, and blast radius to focus analyst attention on what matters.
Detection principle
“NHI threats move through credential channels, not network ports. Detection must be identity-native to catch them at the moment of misuse.”
Frequently asked questions
Tiger Identity Detection and Response (TIDR) is purpose-built for non-human identity threats. Unlike traditional SIEM tools that focus on network and endpoint events, TIDR understands NHI behavioral patterns, credential usage, and AI agent actions to detect threats that conventional tools miss entirely.
Ready to detect identity threats in real-time?
See how TIDR catches the threats that traditional security tools miss.