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agentic-soc-platform

by FunnyWolf

Agent-centric SOC platform for orchestrating and auditing security agents

Python
Updated Apr 29, 2026
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Overview

Provides an agent-centric Security Operations Center (SOC) platform that automates detection, investigation, and response workflows using autonomous agents. Orchestrates specialist security agents (threat detection, triage, playbook execution) and connects to SIEM/SOAR data sources to close the loop from alert to remediation. Includes Python SDK and pipelines that make it easy to compose, route, and persist agent interactions for auditability, aligning with the Human-in-the-Loop Pattern and the Consensus-Based Decision Pattern.

Key Benefits

As security teams begin delegating operational tasks to autonomous agents, tracking who did what and how reliable each agent is becomes essential. Agentic SOC surfaces agent behavior, decisions, and outputs so teams can audit responses, track agent performance, and spot recurring failure modes. That visibility is a necessary foundation for multi-agent trust, Agent-to-Agent Protocol (A2A) in production security workflows.

Ideal For

Security teams and developers building automated detection-and-response pipelines that need orchestrated agents, audit trails, and repeatable playbooks, benefit from a structured approach like the Planning Pattern.

Real-World Examples

  • Automating threat detection and response by composing specialist agents into playbooks
  • Recording agent interactions and decisions for audits, post-incident review, and reputation tracking
  • Testing and iterating agent-driven remediation flows against simulated SIEM alerts
Works With
langchain
Topics
agentic-socblueteamcybersecuritydifylangchainlanggraphllmsiemsoar
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autogencrewai
Keywords
multi-agent trustagent-to-agent evaluationagent track recordsecurity orchestration