AgentSOC: AI Framework for Security Operations Automation
AgentSOC represents a sophisticated framework of agentic AI aimed at bolstering Security Operations Centers (SOCs) through the integration of perception, anticipatory reasoning, and risk-oriented action planning. This architecture merges various abstraction layers into a unified operational loop that standardizes alerts, enhances contextual understanding, formulates hypotheses, assesses structural viability, and implements responses that adhere to policy. Evaluated conceptually in a large enterprise setting, AgentSOC enhances the consistency of triage, predicts the intentions of attackers, and offers containment strategies that weigh security effectiveness against operational consequences. The findings are available on arXiv with the identifier 2604.20134.
Key facts
- AgentSOC is a multi-layered agentic AI framework for SOC automation.
- It integrates perception, anticipatory reasoning, and risk-based action planning.
- The architecture consolidates multiple abstraction layers into one operational loop.
- Functions include normalizing alerts, enriching context, generating hypotheses, validating feasibility, and executing responses.
- Conceptually evaluated in a large enterprise environment.
- Improves triage consistency and anticipates attacker intentions.
- Provides containment options balancing security and operational impact.
- Published on arXiv with ID 2604.20134.
Entities
Institutions
- arXiv