Autonomous Incident Responder

The Autonomous Incident Responder (AIR) platform offers a modern, cloud-native approach to simplifying security operations. Built to lighten the load of SOC teams, it combines detection, threat hunting, and response using self-learning AI models. The system automatically absorbs telemetry from endpoints, networks, clouds, and SaaS tools, normalizes and enriches the data, and allows analysts to visualize incidents through intuitive timelines. This approach enables effective, real-time risk scoring and prioritization, reducing the pursuit of false positives and minimizing alert fatigue. AIR’s standout feature is its no-code interface, where security engineers can drag and drop elements to build detection models—no programming needed. These models are created and refined by genetic algorithms, learning over time from analyst feedback and emerging threats. With pre-built threat intelligence modules and AI-curated workflows, analysts can deploy new detection scenarios rapidly, responding to threats without getting bogged down in complex configurations. Beyond detection, AIR empowers cloud-ready automation for incident response. Alerts can trigger autonomous actions—from notifications to remediation steps—automatically, enabling response outside usual business hours.