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paperFebruary 2026Unreviewed

Human Society-Inspired Approaches to Agentic AI Security: The 4C Framework

A. Abuadbba, N. Sultan, Surya Nepal, Sanjay Jha

arXiv.org

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Abstract

AI is moving from domain-specific autonomy in closed, predictable settings to large-language-model-driven agents that plan and act in open, cross-organizational environments. As a result, the cybersecurity risk landscape is changing in fundamental ways. Agentic AI systems can plan, act, collaborate, and persist over time, functioning as participants in complex socio-technical ecosystems rather than as isolated software components. Although recent work has strengthened defenses against model and

Categories

Agentic Threats

Cite

@misc{abuadbba2026human,
  title = {{Human Society-Inspired Approaches to Agentic AI Security: The 4C Framework}},
  author = {A. Abuadbba and N. Sultan and Surya Nepal and Sanjay Jha},
  year = {2026},
  month = feb,
  eprint = {2602.01942},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2602.01942},
  url = {https://www.semanticscholar.org/paper/20f1c57301375e2642fd4969713acdf7c20177b6}
}