securityclaw-autonomous-soc-agent

Name: securityclaw-autonomous-soc-agent
Availability: InStock
Author: Aradotso

Official

Autonomous SOC monitoring with LLM threat triage

Software Engineering #llm #rag #langgraph #anomaly detection #threat hunting #opensearch #soc

AuthorAradotso

Version1.0.0

Installs0

System Documentation

What problem does it solve?

Security teams need continuous detection and investigation across security log data, but manual triage and analyst workflows cannot keep up with fast-changing threats and noisy alerts.

Core Features & Use Cases

RAG-based behavioral memory: Builds and queries embeddings of normal network behavior stored in OpenSearch/Elasticsearch for contextual detection.
LLM anomaly analysis: Uses LLM validation to analyze anomalies with retrieved context and produce investigation-ready outputs.
LangGraph orchestrated SOC automation: Runs a DECIDE→EXECUTE→EVALUATE supervisor loop with conversation-based investigations and checkpointing.
Operational interfaces: Provides both CLI and a web UI/API to support real-time threat analysis and automation.
Provider flexibility: Supports OpenSearch vs Elasticsearch and Ollama vs other LLM providers.

Example use case

Monitor OpenSearch indices for near-real-time network anomalies, retrieve baseline context for the involved events, and automatically generate an analyst-style threat triage and investigation plan.

Quick Start

Deploy the SecurityClaw service by running the command: python main.py service.

Dependency Matrix

Required Modules

None required

Components

Standard package