Beyond single-channel agentic benchmarking
• Current AI safety benchmarks assess agents in isolation, ignoring human‑AI interaction dynamics. • Single‑channel evaluation misrepresents operational safety, unlike redundancy‑b
Ai Safety
DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs
• DeepContext introduces stateful monitoring for LLM safety, tracking intent across turns. • Uses RNN to process fine‑tuned turn‑level embeddings, preserving conversation context.