{"id":4172,"date":"2026-05-28T16:43:38","date_gmt":"2026-05-28T16:43:38","guid":{"rendered":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/2026\/05\/28\/ibm-red-hat-launch-project-lightwell-to-secure-open-source-software-from-frontier-models\/"},"modified":"2026-05-28T16:43:38","modified_gmt":"2026-05-28T16:43:38","slug":"ibm-red-hat-launch-project-lightwell-to-secure-open-source-software-from-frontier-models","status":"publish","type":"post","link":"https:\/\/rssfeedtelegrambot.bnaya.co.il\/index.php\/2026\/05\/28\/ibm-red-hat-launch-project-lightwell-to-secure-open-source-software-from-frontier-models\/","title":{"rendered":"IBM, Red Hat Launch Project Lightwell to Secure Open Source Software from Frontier Models"},"content":{"rendered":"<div><img data-opt-id=1210912882  fetchpriority=\"high\" decoding=\"async\" width=\"770\" height=\"330\" src=\"https:\/\/devops.com\/wp-content\/uploads\/2026\/05\/project_lightwell_770x330.jpg\" class=\"attachment-large size-large wp-post-image\" alt=\"\" \/><\/div>\n<p><img data-opt-id=1734002851  fetchpriority=\"high\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/devops.com\/wp-content\/uploads\/2026\/05\/project_lightwell_770x330-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"\" \/><\/p>\n<p>IBM and Red Hat are bringing together what they\u2019ve learned from frontier AI models and 20,000 engineers to <a href=\"https:\/\/www.ibm.com\/products\/lightwell\" target=\"_blank\" rel=\"noopener\">launch Project Lightwell<\/a>, a $5 billion initiative aimed at helping enterprises better secure their open source software, work that has become more challenging in the age of such models as <a href=\"https:\/\/securityboulevard.com\/2026\/05\/anthropics-mythos-finds-10000-security-flaws-exposes-patching-obstacles\/\" target=\"_blank\" rel=\"noopener\">Anthropic\u2019s Claude Mythos Preview<\/a>.<\/p>\n<p>Mythos and similarly powerful frontier models are quickly collapsing the exploit window for organizations, reducing from weeks to days or hours the time between vulnerability detection and patching. IT and security vendors are scrambling to develop AI-powered protections and processes to match the machine speed at which bad actors can now operate.<\/p>\n<p>It can be particularly difficult in the open source world. Anthropic researchers earlier this month wrote about their findings after the first month of <a href=\"https:\/\/www.anthropic.com\/glasswing\" target=\"_blank\" rel=\"noopener\">Project Glasswing<\/a>, an effort the AI vendor created to let a few dozen companies and researchers use the Mythos model to find vulnerabilities and to develop advanced security tools to protect systems from exploits.<\/p>\n<p>They wrote that they used Mythos to scan more than 1,000 open source projects, with the model finding 23,019 security flaws, including <a href=\"https:\/\/www.anthropic.com\/research\/glasswing-initial-update\" target=\"_blank\" rel=\"noopener\">6,202 deemed high- or critical-severity<\/a>. The researchers noted the importance of open source software \u2013 \u201cwhich collectively underpin much of the internet \u2013 and much of our own infrastructure\u201d \u2013 and the challenges that frontier AI models present.<\/p>\n<p>\u201cThe bottleneck in\u00a0<em>fixing<\/em>\u00a0bugs like these is the human capacity to triage, report, and design and deploy patches for them,\u201d they wrote. \u201cFinding them in the first place has become vastly more straightforward with Mythos Preview.\u201d<\/p>\n<h3>Combining AI with Engineers<\/h3>\n<p>IBM Chairman and CEO Arvind Krishna echoed the sentiment in announcing Project Lightwell.<\/p>\n<p>\u201cOpen source is the backbone of today\u2019s digital economy and the foundation of modern AI, and we are at an inflection point in how it is built, secured, and scaled,\u201d Krishna <a href=\"https:\/\/newsroom.ibm.com\/2026-05-28-ibm-and-red-hat-commit-5-billion-to-redefine-the-future-of-open-source-in-the-ai-era\" target=\"_blank\" rel=\"noopener\">said in a statement<\/a>. \u201cWith Project Lightwell, IBM and Red Hat are helping define a new industry model, one that brings together AI, engineering expertise, and trusted collaboration, to secure open source software at its source and across the entire supply chain.\u201d<\/p>\n<p>He added that \u201cthis is about strengthening trust in the systems that power business, government, and society.\u201d<\/p>\n<h3>A Clearinghouse for AI Threat Information<\/h3>\n<p>Project Lightwell has a few parts to it. It will create a clearinghouse that will act as a coordination layer for enterprises, including using advanced AI capabilities to validate and test fixes across massive volumes of open source code. The clearinghouse will be available through commercial subscriptions that will enable organizations to integrate secure patches directly into their software supply chains, complete with validation and lifecycle management capabilities.<\/p>\n<p>Enterprises can use the clearinghouse to share security issues they\u2019ve discovered in their software versions, deploy validated patches in production environments that run from Red Hat offerings to code from the open source community, and share fixes upstream so open source communities can include them as they maintain the open source projects.<\/p>\n<p>At the same time, the 20,000-plus engineers, using advanced AI technology, will work across upstream and enterprise environments to focus on upstream maintenance in tandem with others in the open source community, run through high-volume and AI-assisted reviews, triage, and prioritization of security flaws, and ensure that patch development, dependency hardening, and release engineering are secure.<\/p>\n<h3>Learning from Frontier Models<\/h3>\n<p>IBM officials said the effort builds on its and Red Hat\u2019s broad experience in open source, enterprise AI, and security, and builds upon what they\u2019ve learned in both Anthropic\u2019s Project Glasswing and OpenAI\u2019s <a href=\"https:\/\/openai.com\/index\/trusted-access-for-cyber\/\" target=\"_blank\" rel=\"noopener\">Trust Access for Cyber<\/a>, an initiative launched by the AI vendor in February as an \u201cidentity and trust-based framework designed to help ensure enhanced cyber capabilities are being placed in the right hands. This reflects our broader approach\u2060 to responsibly deploying highly capable models.\u201d<\/p>\n<p>It follows what other vendors, including <a href=\"https:\/\/devops.com\/microsoft-turns-to-anthropics-mythos-to-improve-cyber-defense\/\" target=\"_blank\" rel=\"noopener\">Microsoft<\/a> and <a href=\"https:\/\/cloud.google.com\/blog\/products\/identity-security\/introducing-google-ai-threat-defense\" target=\"_blank\" rel=\"noopener\">Google Cloud<\/a>, are doing to improve security capabilities through the work they\u2019ve done with Project Glasswing and other initiatives.<\/p>\n<h3>Leveraging Agents<\/h3>\n<p>Project Lightwell also will use new agentic security methods developed by IBM, along with the open source capabilities developed by both Big Blue and Red Hat. IBM uses more than 62,000 open source packages and has expertise in more than 10,000, and Red Hat \u2013 which IBM owns \u2013 is a key player in the open source space. Between the two, they have deep experience in such open source technologies as Linux, Java, Kubernetes, Terraform, and Ansible.<\/p>\n<p>Through the new project, the vendors are extending their capabilities in the application field, including independent libraries, language toolchains, AI frameworks, and data streaming platforms, officials said.<\/p>\n<p>IBM and Red Hat already are working with a number of Lightwell early adopters from the financial services world, including Bank of America, JPMorgan Chase, Citi, Goldman Sachs, Mastercard and Visa.<\/p>\n<p><a href=\"https:\/\/devops.com\/ibm-red-hat-launch-project-lightwell-to-secure-open-source-software-from-frontier-models\/\" target=\"_blank\" class=\"feedzy-rss-link-icon\">Read More<\/a><\/p>\n<p>\u200b<\/p>","protected":false},"excerpt":{"rendered":"<p>IBM and Red Hat are bringing together what they\u2019ve learned from frontier AI models and 20,000 engineers to launch Project [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4173,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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