Hunt loops that never sleep.
Sockindle generates hunt hypotheses from behavioral baselines, chases every IOC thread, and correlates findings across your full telemetry stack — without analyst intervention on routine signals.
From anomaly to verdict — automatically.
A hunt loop is a structured investigation cycle. Sockindle runs thousands simultaneously, each following a rigorous evidence chain.
Hypothesis Generation
AI identifies behavioral anomalies against a rolling 90-day baseline. Each deviation spawns a hunt hypothesis with an initial confidence score.
Evidence Chase
Hunt threads follow IOC chains across endpoint logs, identity events, and network telemetry — correlating across your entire dataset in seconds.
Verdict & Escalation
High-confidence verdicts close autonomously. Low-confidence or critical findings escalate with a full evidence package — analyst reads context, not raw logs.
Industry median: 21 days. Sockindle median: under 6 hours.
Dwell time — the gap between initial compromise and detection — is the primary driver of breach cost. Autonomous hunting closes this gap by running continuously, not just during business hours.
Always-on Coverage
Hunt loops run 24/7 — weekends, holidays, 3 AM. Most breaches begin outside business hours. Sockindle doesn't clock out.
Lateral Movement Detection
Correlates across endpoint, identity, and network telemetry to detect lateral movement before threat actors reach high-value assets.
Evidence-First Escalation
When hunt loops escalate, they attach the full evidence chain — no analyst needs to reconstruct context from raw SIEM logs.
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