Analysis
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
First reported · Discovered arxiv.org
Page published
Earliest dated coverage: 30 Sep 2026 · First observed: 28 Oct 2026 · Latest dated coverage: 30 Sep 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
LLM backdoor risks require defenders to assess model and adapter behavior rather than relying solely on file scanning and routine validation.
Red Hat's analysis examines LLM backdoors and LoRA supply-chain risks, arguing that model-file scanning, benchmarks, and spot checks alone cannot establish model trustworthiness. The article discusses limitations of post-hoc realignment and outlines a layered defense pipeline.