Team82 researchers utilized Anthropic's Claude Opus 4.6 model to identify cybersecurity vulnerabilities in a Zenitel video intercom system. This AI-driven approach successfully discovered five vulnerabilities, mirroring previous manual research findings. The experiment highlights the potential of large language models in cybersecurity research. AI
IMPACT Demonstrates LLMs' capability in identifying security flaws, potentially accelerating vulnerability discovery.
RANK_REASON AI model used for cybersecurity vulnerability research. [lever_c_demoted from research: ic=1 ai=1.0]
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