Identity Threat Detection & Response

MatrixSentry detects identity threats where they execute — in the messages, files, and actions that happen after authentication.

Auth-layer ITDR catches the impossible-travel login. But attackers who hijack sessions, compromise credentials, or leverage AI agents never trigger the auth layer. We monitor the interaction layer — email, chat, document shares — where identities actually act. Every message is attributed, every behavior baselined, every anomaly surfaced.

Core Capabilities

1. Identity Attribution

Every interaction is tied to a specific identity. For AI agents acting under delegated permissions, we trace the delegation chain to distinguish human actions from agent actions — a capability no auth-layer tool provides.

2. Behavioral Baselines

Each identity builds a rolling 30-day behavioral profile: communication patterns, contact graphs, language markers, active hours. Deviations from baseline — a new recipient burst, an off-hours campaign, a sudden tone shift — trigger detection without static rules.

3. Cross-Channel Detection

Email and Teams chat are monitored today. Identity behavior is correlated across channels — an identity acting anomalously in email AND chat is a stronger signal than either alone. Document sharing and more channels are next.

4. Autonomous Response

Detection triggers autonomous remediation: email quarantine, Teams DLP enforcement, real-time alerts. The rules engine self-tunes from analyst feedback — no manual rule writing, no signature updates.

Platform Vision

To be the identity threat detection layer for every surface where humans and AI agents interact — extending ITDR from the authentication boundary to the interaction layer where threats actually execute.