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[2510.23883] Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
Summary
This article explores the security implications of agentic AI systems, detailing specific threats, defense strategies, and evaluation methodologies while highlighting ongoing challenges in the field.
Why It Matters
As agentic AI systems become more prevalent, understanding their unique security risks is crucial for developers and policymakers. This article provides a comprehensive overview of these risks and potential defenses, which is essential for ensuring the safe deployment of these technologies.
Key Takeaways
- Agentic AI systems introduce distinct security risks beyond traditional AI safety.
- The article outlines a taxonomy of threats specific to agentic AI.
- It reviews current evaluation methodologies and benchmarks for assessing AI security.
- Defense strategies are discussed from both technical and governance perspectives.
- The paper highlights open challenges that need to be addressed for secure AI development.
Computer Science > Artificial Intelligence arXiv:2510.23883 (cs) [Submitted on 27 Oct 2025 (v1), last revised 13 Feb 2026 (this version, v2)] Title:Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Authors:Anshuman Chhabra, Shrestha Datta, Shahriar Kabir Nahin, Prasant Mohapatra View a PDF of the paper titled Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges, by Anshuman Chhabra and 3 other authors View PDF HTML (experimental) Abstract:Agentic AI systems powered by large language models (LLMs) and endowed with planning, tool use, memory, and autonomy, are emerging as powerful, flexible platforms for automation. Their ability to autonomously execute tasks across web, software, and physical environments creates new and amplified security risks, distinct from both traditional AI safety and conventional software security. This survey outlines a taxonomy of threats specific to agentic AI, reviews recent benchmarks and evaluation methodologies, and discusses defense strategies from both technical and governance perspectives. We synthesize current research and highlight open challenges, aiming to support the development of secure-by-design agent systems. Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2510.23883 [cs.AI] (or arXiv:2510.23883v2 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2510.23883 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Anshuman Chhabra [view email] [v1] Mon, 2...