Analysts spend 70 minutes investigating each alert with a 56-minute lag before triage begins; 40% of alerts go uninvestigated entirely. Manual response cannot scale to modern alert volumes or adversary speed.
The platform ingests alerts from detection systems and automatically executes response playbooks—enriching indicators, correlating related events, and taking containment actions—via API integrations across dozens of security tools. AI-driven triage models score alert severity, recommend analyst actions, and escalate high-confidence incidents for human review. Continuous feedback from analyst decisions refines automation logic, progressively increasing the percentage of incidents resolved without manual intervention.
Security orchestration platforms, automated playbook engines, case-management systems, enrichment API connectors, and AI decision-support dashboards.
A prepared team and process that detects, contains, eradicates, and recovers from security incidents while preserving digital evidence for analysis.
Validated IR playbooks are encoded as SOAR automation workflows.
ML-driven endpoint agents that detect and autonomously contain threats in real time using behavioral analysis and cross-domain telemetry correlation.
EDR alert feeds are the primary input for automated triage and response actions.
ML-driven detection that builds behavioral baselines for users, devices, and networks, surfacing anomalies invisible to signature-based rules.
AI-enriched alert feeds from hunting platforms improve SOAR triage precision.
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