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GitHub AI security agent

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    GitHub's AI agent finds 24 Android vulnerabilities●GitHub found 24 Android vulnerabilities using its open-source AI security agent: automated vulnerability discovery on reMmastodonTechnologyMobile25 h ago

    GitHub says it discovered 24 vulnerabilities in Android using its open-source AI security agent, describing it as automated vulnerability discovery at scale on real production software. The company published details in a blog post, and the report is drawing attention as a notable demonstration of AI agents doing practical security research on widely used code.

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    GitHub AI agent uncovers 24 Android app vulnerabilities●GitHub’s AI agent found 24 Android app vulnerabilities✉newsTechnologySoftware26 min ago

    GitHub says its AI agent identified 24 vulnerabilities in Android applications, marking a notable demonstration of autonomous AI tools in security research. The findings highlight how AI agents are being put to work scanning for real flaws rather than just assisting developers with code. Security watchers are discussing what this means for the future of automated vulnerability discovery and app safety.

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    GitHub says AI agent found 24 Android vulnerabilities●How we found 24 Android vulnerabilities using our open source AI security agent✉newsTechnologySoftware26 min ago

    GitHub reports that its open source AI security agent uncovered 24 vulnerabilities in Android. The company published details of how the agent identified the flaws, presenting the work as a demonstration of how AI-driven tooling can scale security research on widely used software. The announcement has drawn attention from developers and security researchers discussing the reliability and implications of AI agents in vulnerability discovery.

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    NVIDIA's OpenShell project, described as a safe, private runtime for autonomous AI agents, has appeared on GitHub and is drawing attention in developer circles. The project is written in Rust, a language favoured for memory safety and performance, which fits its security-focused pitch. As AI agents move from demos to real deployments, tools that promise isolation and privacy for agent execution are becoming a hot topic.