[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-rust-security-benchmark-catches-llms-struggling-to-localize-bugs":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3986,"new-rust-security-benchmark-catches-llms-struggling-to-localize-bugs","New Rust Security Benchmark Catches LLMs Struggling to Localize Bugs","RustMizan tests AI agents on real, compilable Rust code and finds that pinpointing a vulnerable line is still far beyond their reach.","A new benchmarking framework exposes how badly AI models stumble when asked to find exactly where a Rust vulnerability lives in real code.\n\nResearchers introduced RustMizan, a framework built to stress-test large language model agents on Rust vulnerability analysis. Unlike earlier benchmarks that lean on small, non-compilable code snippets and simple yes-or-no classification, RustMizan includes compilable code at the crate, file, and function levels, with labels for CWE classification and precise line-level localization. It also ships a mutation framework that generates semantics-preserving code variants specifically to probe whether models are pattern-matching on training data they have already seen. Four frontier models were tested in an agentic setup with command-line access.\n\nThe results put a number on a gap that practitioners have long suspected. Binary classification — vulnerable or not — landed between 56 and 65 percent across all models, barely better than a coin flip on harder cases. Line-level localization F1 scores hovered near 20 percent, and introducing adversarial cues knocked that figure down by about 27 points. That matters because telling a security team \"this file has a bug\" is far less useful than pointing to the exact line.\n\nThe contamination angle is worth noting: most public vulnerability datasets are old enough that frontier models have almost certainly trained on them, inflating benchmark scores without improving real-world utility. RustMizan's mutation approach is a direct response to that problem — though whether mutation is sufficient to fully escape training-set overlap remains an open question the paper does not fully settle.","[\"security\",\"ai\",\"benchmarks\",\"rust\"]","2026-07-07T04:00:00.000Z","2026-07-07T14:10:37.184Z","2026-07-07T14:10:40.155Z","published",null,[],"security",[24,26,27,28],"ai","benchmarks","rust",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.04729",0,{"sections":35},[36,40,44,49,54,59,64,69,74,78,83,87,92,97],{"name":37,"slug":26,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":24,"count":42,"latest_published_at":43},"Security",294,"2026-07-15T19:59:48.000Z",{"name":45,"slug":46,"count":47,"latest_published_at":48},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":68},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":79,"slug":80,"count":81,"latest_published_at":82},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":84,"slug":85,"count":81,"latest_published_at":86},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]