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  • XBOW – Taking the Top Hacker in the US to New Heights: XBOW Raises $75M . . .
    XBOW has reached a critical milestone: our AI now rivals and surpasses top-tier human hackers Earlier this year, XBOW became the #1 hacker in the United States on HackerOne, the leading platform for coordinated vulnerability disclosure, outperforming every human participant It’s the first time an autonomous system has done so
  • One of the Best Hackers in the Country is an AI Bot
    This is the first time a company’s AI product has topped HackerOne’s US leaderboard by reputation, which measures how many vulnerabilities have been found and the importance of each one
  • Xbow Raises $75 Million Series B for AI-Powered Penetration Testing . . .
    Xbow’s AI-driven approach aim Xbow, a cybersecurity startup known for its AI-powered penetration testing tool, has raised $75 million in a Series B funding round The company’s tool has gained recognition by topping the HackerOne leaderboard in the United States for identifying and reporting software vulnerabilities
  • Xbow, whose AI tool automates penetration testing and topped HackerOne . . .
    Xbow, whose AI tool automates penetration testing and topped HackerOne's US leaderboard for finding and reporting software bugs, raised a $75M Series B — Xbow, the startup behind a highly ranked hacking security tool, is raising $75 million — A hacker named Xbow has topped …
  • XBOW is an offensive security AI created by GitHub Copilot pioneers
    The team describes XBOW’s approach as “agentic AI,” meaning it pursues high-level goals by executing commands and reviewing their output While the company is tight-lipped about the specific technologies powering XBOW, citing the need to protect its intellectual property, they said it goes beyond standard techniques to include proprietary innovations
  • Xbow, whose AI tool automates penetration testing and - One News Page
    Xbow, whose AI tool automates penetration testing and topped HackerOne's US leaderboard for finding and • • World • One News Page: Tuesday, 24 June 2025
  • Fully-Autonomous AI Systems Are Discovering Vulns Today
    Code maintainers wouldn’t know what to do with hundreds of vulnerabilities submitted all at once Reports will eventually include auto-generated patches But trust in automated systems is low Human systems (i e companies) are complicated and often learn the wrong lesson AI systems that can find vulns, but more importantly – write patches


















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