AI EdgeLabs AI-Generated Playbooks

AI EdgeLabs AI-Generated Playbooks is a SOC automation feature that uses large language models (LLMs) to generate real-time, incident-specific response playbooks based on runtime alert data. **How It Works:** The system analyzes raw runtime data — including process names, system calls, network activity, and file modifications — to understand the context of each alert. Based on this analysis, it generates two types of playbooks tailored to the specific incident: **Information Playbook:** Provides investigative guidance to SOC analysts, covering: - Process inspection (reviewing suspicious process histories and behaviors) - File analysis (tracking file modifications and access) - Network investigation (mapping and cutting off malicious connections) - Log review (tracing activity through system and application logs) **Action Playbook:** Delivers automated, executable response steps, including: - Process termination (ending rogue processes via targeted commands) - Network blocking (isolating threats by blocking malicious IPs or ports) - Execution disabling (preventing harmful binaries from running again) - System update recommendations (closing known vulnerabilities) **Command Generation:** Playbooks include bespoke bash commands and scripts tailored to each alert, enabling SOC teams to execute responses step-by-step and validate remediation outcomes. **Deployment Flexibility:** Compatible with edge nodes and on-premises servers (via VPN or SSH), cloud systems, Kubernetes clusters (via Helm charts), and IoT gateways. Playbooks operate in real-time streaming mode to minimize the delay between alert detection and response.