#AIOps
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"Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents", Oct. 2025.
// AI agents powered by LLMs are being deployed at scale, yet we lack a systematic understanding of how the choice of backbone LLM affects agent security. The non-deterministic sequential nature of AI agents complicates security modeling, while the integration of traditional software with AI components entangles novel LLM vulnerabilities with conventional security risks. We introduce threat snapshots: a framework that isolates specific states in an agent’s execution flow where LLM vulnerabilities manifest, enabling the systematic identification and categorization of security risks that propagate from the LLM to the agent level
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Breaking_Agent_Backbones.pdf867.3 KB