Looking Inside: a Maliciousness Classifier Based on the LLM's Internals

Beyond input & output filtering and how well does it generalize to your out-of-distribution production data?

Clawdbot: More than you bargained for?

Moving The Decision Boundary of LLM Safety Classifiers

How a new fine-tuning approach can mitigate the problem of inaccurate safety paths

Hardening OpenAl's Atlas: The Relentless Challenge of Securing an Untrusted Browser Agent

Claude in Chrome: A Threat Analysis

Connected Agents: The hidden agentic puppeteer

Exploiting Copilot Studio's newest feature and exploring protection options

The Geometry of Safety Failures in Large Language Models

A deep dive into activation space of prompts in safety classifiers. Showing not why - but where - safety fails in LLM classifiers meant to detect malicious prompts.