Strix tool evaluates security vulnerabilities across 18 LLM models using autonomous AI penetration testing

Strix is a new pentesting tool designed to assess security weaknesses in 18 different large language models

The research demonstrates agentic AI capabilities for identifying vulnerabilities in LLM systems

Results provide benchmarking data on how various LLM models respond to automated security testing

The study contributes to understanding AI safety and security across different model architectures