AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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With the rapid development of artificial intelligence, the emergence of various Large Language Models (LLMs) has created a rich model ecosystem. However, this also brings a key challenge: how to select the optimal model for a specific user query. LLM routing addresses this need by dynamically assigning queries to the m...
MemSecBench is introduced, a task-grounded benchmark for the lifecycle security of agent memory systems, which indicates that the evaluated memory system stacks differ in lifecycle security, both in the propagation of malicious memory and in selective repair after successful memory poisoning.
This work introduces AgentS4D, a sandboxed benchmark for lifecycle-wide runtime safety evaluation and evaluates all 20 combinations of four harnesses and five LLM backends, finding that the observed safety of an agent system varies with both its harness-LLM pairing and how risk is introduced.
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