paperDecember 2025Unreviewed

The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines

Vaishali Vinay

International Conference on Applied Informatics and Communication

Abstract

Cybersecurity operations are increasingly adopting agentic AI solutions due to the time-critical and complex decision-making in security operations centers (SOCs). While large language models (LLMs) are good with summarization tasks or interpreting structured and unstructured reports, real-world SOC workflows have additional requirements such as access to original logs, reproducibility and accountability to triage security incidents. For example, analysts routinely correlate alerts to understand

Cite

@inproceedings{vinay2025evolution,
  title = {{The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines}},
  author = {Vaishali Vinay},
  year = {2025},
  month = dec,
  booktitle = {International Conference on Applied Informatics and Communication},
  eprint = {2512.06659},
  archivePrefix = {arXiv},
  doi = {10.1109/ICAIC67076.2026.11395809},
  url = {https://www.semanticscholar.org/paper/6417c2e047247e4e844c8ab390fb3812fb4f80e1}
}