Agentic AI for Cyber Resilience: A New Security Paradigm
Published:Dec 28, 2025 11:17
•1 min read
•ArXiv
Analysis
This paper proposes a significant shift in cybersecurity from prevention to resilience, leveraging agentic AI. It highlights the limitations of traditional security approaches in the face of advanced AI-driven attacks and advocates for systems that can anticipate, adapt, and recover from disruptions. The focus on autonomous agents, system-level design, and game-theoretic formulations suggests a forward-thinking approach to cybersecurity.
Key Takeaways
- •Proposes a shift from prevention-centric to resilience-focused cybersecurity.
- •Advocates for the use of agentic AI for autonomous sensing, reasoning, action, and adaptation.
- •Introduces a system-level framework for designing agentic AI workflows.
- •Emphasizes game-theoretic formulations for designing autonomy, information flow, and temporal composition.
- •Presents case studies in automated penetration testing, remediation, and cyber deception.
Reference
“Resilient systems must anticipate disruption, maintain critical functions under attack, recover efficiently, and learn continuously.”