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Security Challenges and Framework for Long-Horizon Agentic AI Systems
This paper analyzes security threats and evaluation methods for long-horizon agentic AI systems, proposing a taxonomy of threats and a framework for attack propagation analysis. It aims to guide future research in securing agentic AI.
As agentic AI systems operate over extended periods and make autonomous decisions, understanding their security vulnerabilities is critical to prevent cascading attacks. The proposed framework helps structure defenses and evaluation strategies for these complex AI systems.
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Score 67
Source Type arxiv
Reposts 0
Topic Quality 54
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