I co-authored the original arXiv paper here with Dmitrii Volkov as part of work with Palisade Research. The internet today is saturated with automated bots actively scanning for security flaws in websites, servers, and networks. According to multiple security reports, nearly half of all internet traffic is generated by bots,...
I recently explored whether we could predict major AI releases by analyzing the Twitter activity of OpenAI's red team members. While the results weren't conclusive, I wanted to share this approach in case it inspires others to develop it further. The Core Idea The idea came from side-channel analysis -...
I co-authored the original arXiv paper here with Dmitrii Volkov as part of work with Palisade Research.
The internet today is saturated with automated bots actively scanning for security flaws in websites, servers, and networks. According to multiple security reports, nearly half of all internet traffic is generated by bots, and a significant amount of these are malicious in intent.
While much of these attacks are relatively simple, the rise of AI capabilities and agent frameworks has opened the door to more sophisticated and adaptive hacking agents based on Large Language Models (LLMs), which can dynamically adapt to different scenarios.
Over the past months, we set up and deployed specialized "bait" servers to detect LLM-based... (read 1444 more words →)
I recently explored whether we could predict major AI releases by analyzing the Twitter activity of OpenAI's red team members. While the results weren't conclusive, I wanted to share this approach in case it inspires others to develop it further.
The idea came from side-channel analysis - a technique where you gather information about a system by looking at indirect signals rather than the system itself. Think tracking factory electricity usage to estimate production volumes, or stealing an LLM’s softmax layer through logprobs.
When OpenAI prepares to release a new AI model, their red team (safety and robustness testers) gets access to it a few weeks before launch. I hypothesized these intense testing... (read 203 more words →)