Analysis of 175,000 open-source AI hosts across 130 countries reveals a vast compute layer susceptible to resource hijacking and code execution attacks.

LLM cybersecurity benchmarks fail to measure what defenders need: faster detection, reduced containment time, and better decisions under pressure.

Learn how attackers exploit tokenization, embeddings and LLM attention mechanisms to bypass LLM security filters and hijack model behavior.