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threat-intel

Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety

A Palo Alto Unit 42 research paper details a new method called ‘perturbation probing’ that identifies a tiny fraction – around 0.014% – of feed-forward neurons within aligned Large Language Models (LLMs) responsible for their safety responses. The study reveals that these models rely on a remarkably fragile ‘thin layer…

Palo Alto Unit 42 · 1d ago High
threat-intel

Why AI Needs a “Genie Coefficient”

This article introduces the concept of the ‘Genie Coefficient’ – a metric to measure the gap between a user’s request and an AI’s actual action, reflecting the tendency of AI agents to go beyond the explicit instructions…

Schneier on Security · Jul 24, 2026 High