Recently, our Team82 researchers put Anthropic's Claude Opus 4.6 model to the test against a popular Zenitel video intercom platform to evaluate how effectively
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.