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AI is uncovering software security flaws at a record pace

Vendors and AI tools found most flaws internally, while only 1.3% of AI-assisted discoveries were confirmed exploited, VulnCheck said.

  • The U.S. National Vulnerabilities Database recorded 45,207 software flaws through late July, a volume largely driven by AI-powered tools enabling researchers to find and patch defects at accelerated scale.
  • Despite fears that AI-assisted vulnerability discovery would empower attackers, a VulnCheck report Tuesday found that AI-discovered flaws are no more likely to be exploited than vulnerabilities found through traditional methods.
  • Only 14 vulnerabilities, or 1.3%, have been confirmed as exploited in the wild, while Anthropic's Project Glasswing has seen little movement since April with few findings becoming published CVEs.
  • Cybersecurity experts warn that attackers are accelerating their efforts, with the median time from vulnerability publication to exploitation dropping from 120 days in 2025 to 80 days during this year's first half.
  • Attackers are increasingly targeting the expanding AI software stack, with AI products accounting for almost 6% of exploited vulnerabilities alongside network edge devices and content management systems.
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Vulnerabilities discovered using artificial intelligence have not yet led to a significant increase in real-world attacks, according to the company VulnCheck, which studied over a thousand cases in which AI helped identify potential software issues.

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Business Report broke the news on Monday, July 27, 2026.
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