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Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Agentic AI systems powered by Large Language Models (LLMs) and endowed with planning, tool use, memory, and autonomy are emerging as powerful and flexible platforms for automation. Their ability to autonomously execute tasks across web, software, and physical environments creates new and amplified s...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Anshuman Chhabra, Shrestha Datta, Shahriar Kabir Nahin, Prasant Mohapatra
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2026-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Online-Zugang:https://ieeexplore.ieee.org/document/11447227/
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