AI-Powered Incident Response System
Autonomous SOC platform leveraging multi-agent AI, persistent memory, and real-time intelligence for end-to-end incident lifecycle management from detection to remediation
Intelligence & Signal Ingestion
Real-time correlation of external threat intelligence and internal security alerts
Correlates security incidents with global threat landscapes, infrastructure risks, and escalation signals to identify state-sponsored attacks or widespread outages affecting organizational assets
Enterprise SIEM (Splunk, Sentinel, Chronicle) for initial log aggregation, alert generation, and telemetry normalization
Knowledge & Memory Layer
Deep document understanding for procedures and persistent incident context
Ingests complex incident runbooks, security SOPs, and forensic reports with grounded citations and traceable references to reduce hallucination during critical response decisions
Maintains persistent memory of previous incidents, attack patterns, resolutions, and analyst preferences across sessions to accelerate similar-case triage and response
AI Gateway
Unified LLM access with cost control and failover
Agent Orchestration
Stateful multi-agent workflows for investigation and response
Response Automation
Integration with communication and remediation systems