{"id":9171,"date":"2026-05-23T04:34:55","date_gmt":"2026-05-22T19:34:55","guid":{"rendered":"https:\/\/cyberenso.jp\/?p=9171"},"modified":"2026-06-13T05:27:50","modified_gmt":"2026-06-12T20:27:50","slug":"anthropics-ai-finds-thousands-of-security-flaws-in-major-software-systems","status":"publish","type":"post","link":"https:\/\/cyberenso.jp\/en\/anthropics-ai-finds-thousands-of-security-flaws-in-major-software-systems\/","title":{"rendered":"Anthropic&#8217;s AI Finds Thousands of Security Flaws in Major Software Systems"},"content":{"rendered":"\n<p>Anthropic made headlines after introducing Claude Mythos Preview, a new AI model designed to assist security researchers in finding previously unknown software vulnerabilities. Unlike traditional security tools, the model can analyze large amounts of code, identify potential weaknesses, and help researchers understand how those flaws might be exploited.<br>At the same time, Anthropic launched Project Glasswing, a cybersecurity initiative that brought together around 50 major technology and security organizations, including Amazon Web Services, Apple, Cisco, Google, Microsoft, NVIDIA, Palo Alto Networks, and JPMorganChase. The goal was simple: use advanced AI to help secure critical software before attackers can take advantage of weaknesses. The results were significant. During the first month of testing, the project examined more than 1,000 open-source software projects and uncovered over 23,000 potential security issues. After further review by independent security researchers, 1,726 vulnerabilities were confirmed as genuine, with nearly 1,000 classified as high or critical risk.<br>One of the most serious discoveries involved WolfSSL, a widely used security library found in billions of Internet of Things (IoT) devices worldwide. The vulnerability could have allowed attackers to create forged certificates and impersonate trusted services, potentially putting a large number of connected devices at risk.<br>Researchers also uncovered several long-standing vulnerabilities that had gone unnoticed for years, including flaws affecting OpenBSD, FFmpeg, and FreeBSD. As a result of these findings, dozens of security patches and advisories were released, helping organizations strengthen their defenses before the vulnerabilities could be widely exploited.<br>The project highlights how artificial intelligence is increasingly becoming a valuable tool in cybersecurity. While attackers continue to use advanced techniques to find weaknesses, AI-powered systems are now helping defenders identify and fix critical flaws faster than ever before. For many security professionals, initiatives like Project Glasswing may represent a major shift in how software security is managed in the years ahead.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic made headlines after introducing Claude Mythos Preview, a new AI model designed to assist security researchers in finding previously unknown software vulnerabilities. Unlike traditional security tools, the model can analyze large amounts of code, identify potential weaknesses, and help researchers understand how those flaws might be exploited.At the same time, Anthropic launched Project Glasswing, a cybersecurity initiative that brought<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":1,"featured_media":9172,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[220,221,15],"tags":[],"class_list":["post-9171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-government-advisory","category-national-infrastructure","category-read_research_papers"],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/cyberenso.jp\/wp-content\/uploads\/2026\/06\/1770192484127.jpg?fit=500%2C300&ssl=1","_links":{"self":[{"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/posts\/9171"}],"collection":[{"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/comments?post=9171"}],"version-history":[{"count":1,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/posts\/9171\/revisions"}],"predecessor-version":[{"id":9174,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/posts\/9171\/revisions\/9174"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/media\/9172"}],"wp:attachment":[{"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/media?parent=9171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/categories?post=9171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyberenso.jp\/en\/wp-json\/wp\/v2\/tags?post=9171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}