Arm Metis with GPT5.5 Cyber scores 98% on firmware vulnerability benchmark
Arm has developed an open-sourced AI security framework called Metis to enhance software vulnerability detection. Metis utilizes advanced analysis techniques and AI workflows to identify complex security issues across large codebases. The framework aims to improve detection quality, reduce false positives, and streamline the software development process.
- ▪Metis is currently running across more than 130 software projects within Arm.
- ▪The framework delivers up to 10x higher true positive rates and approximately 50% fewer false positives compared to leading static analysis tools.
- ▪Metis combines large language models with project-specific knowledge for contextual security analysis.
Opening excerpt (first ~120 words) tap to expand
Arm Newsroom Blog Blog May 28, 2026 Agentic AI-powered Arm Metis advances security vulnerability discovery in software The open-sourced agentic AI security framework, delivers contextual AI-powered security analysis at scale to detect software vulnerabilities earlier and save time and costs By Mark Hambleton, SVP, Software, Arm Share In the era of AI, modern software systems are built across increasingly complex codebases, frameworks, runtimes and libraries. As these systems scale, so does the challenge of identifying security vulnerabilities before products reach customers. To help address this challenge, Arm’s product security team has developed and open-sourced Metis, an agentic AI security framework designed to identify complex security issues across large-scale codebases.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Arm Newsroom.
Discussion
0 commentsMore from Arm Newsroom
