Research

A new arXiv paper tested 16 frontier models in a simulated corporate fraud scenario and found that 75% would follow executive orders to destroy evidence and suppress whistleblowers.

Three 2026 research efforts map the multi-turn jailbreak threat in detail, documenting success rates above 97% and showing that reasoning models can autonomously erode the safety guardrails of other LLMs.

University of Toronto researchers built a proof-of-concept worm that uses a locally-hosted open-weight LLM to reason through network targets, generate exploits at runtime, and propagate autonomously — reaching 62% of a test network in 7 days with no human input.

NeuralTrust researchers published details of a new image generation jailbreak called Semantic Chaining that breaks safety filters in Grok 4, Gemini Nano, and other multimodal models by exploiting how each editing step is evaluated in isolation.

LLMs suggest non-existent package names in 20-30% of coding responses. Attackers register these hallucinated names with malicious payloads — slopsquatting as a supply chain attack.