Competitive Testing of Distributed LLM Systems Based on Multi-Agent Learning with Value Function Decomposition
Distributed large language model infrastructures create fundamentally new semantic attack surfaces involving orchestration layers, retrieval pipelines, autonomous agents, moderation systems, distributed memory components, and adaptive guardrails. Existing adversarial testing methods are inadequate for enterprise-scale...