Anthropic or a Glasswing coalition member will publish a report within 8 weeks disaggregating AI-discovered vulnerability density by programming language, providing the first large-scale empirical evidence that C/C++ codebases harbor disproportionately more exploitable vulnerabilities than memory-safe alternatives like Rust and Go.
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arXiv CS.CL (Computation & Language) · arXiv CS.LG (Machine Learning) · Lobsters
Glasswing has 50+ organizations running Mythos against their codebases — the largest-ever AI vulnerability scanning dataset. Anthropic+Glasswing co-occurrence at 18 stories. Simultaneously, Rust entity momentum spiked +14 (1→15 mentions this week), while three separate C/C++ zero-days hit in the same cycle: BlueHammer (Windows Defender C++), Adobe CVE-2026-34621 (Acrobat C/C++), and Trivy supply chain compromise. When AI autonomously scans thousands of codebases, vulnerability density patterns by language become quantifiable, publishable data. CISA has been recommending memory-safe languages since 2023 but lacked large-scale empirical evidence — Glasswing's dataset provides it.
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