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Shannon: Autonomous AI Hacker Achieves 96.15% Success Rate in Web Application Vulnerability Discovery

Shannon, an entirely autonomous AI hacker developed by KeygraphHQ, has demonstrated remarkable capabilities in identifying real-world vulnerabilities within web applications. The AI achieved an impressive 96.15% success rate in the unprompted, source-aware XBOW benchmark test. This development, highlighted on GitHub Trending, signifies a significant advancement in automated security testing and the potential for AI to autonomously discover and address security flaws.

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Shannon, an entirely autonomous AI hacker, is designed to discover actual vulnerabilities within web applications. Developed by KeygraphHQ, this AI achieved a 96.15% success rate in the unprompted, source-aware XBOW benchmark test. The project was featured on GitHub Trending, indicating its relevance and interest within the developer community. Further discussions regarding Shannon are available on the KeygraphHQ GitHub page.

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