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.