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IBM and Red Hat commit $5 billion to redefine future of open source in AI era

Project Lightwell will establish a trusted enterprise clearinghouse combined with a global force of engineers to identify and fix vulnerabilities at scale.

IBM and Red Hat announced Project Lightwell, a $5 billion commitment backed by new frontier AI capabilities and a global force of more than 20,000 engineers to help enterprises secure open source software. Together, these investments establish a new model for enterprise use of open source software, from upstream development through production environments.

Project Lightwell will establish a trusted enterprise clearinghouse combined with a global force of engineers to identify and fix vulnerabilities at scale. The clearinghouse will serve as a security coordination layer, using advanced AI capabilities to validate and test fixes across an unprecedented volume of open source code. These capabilities will be offered through commercial subscriptions, allowing enterprises to integrate secure patches directly into their existing software supply chains with enterprise-grade validation and lifecycle management.

Open source software underpins modern enterprise infrastructure, with more than 90% of Fortune 500 companies relying on OSS[1]. At the same time, advances in frontier AI are accelerating vulnerability discovery and exploitation. Anthropic recently reported that its Mythos Preview model identified nearly 3,900 high- or critical-severity vulnerabilities in open source software alone[2].

IBM and Red Hat have already begun collaborating with a select group of early adopters on Project Lightwell, including Bank of America, BNY, Citi, Goldman Sachs, JPMorganChase, Mastercard, Morgan Stanley, Royal Bank of Canada, State Street, Visa and Wells Fargo. The real-world insights from these initial deployments will actively shape how vulnerabilities are identified, validated, and remediated at scale across complex software supply chains.

Project Lightwell builds on IBM and Red Hat’s leadership in open source, enterprise AI and security, and incorporates learnings from initiatives such as Anthropic’s Project Glasswing and OpenAI’s Trust Access for Cyber, with a goal of utilizing new IBM agentic security methods to protect the foundational open source layers that underpin modern enterprise and AI systems.

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“Open source is the backbone of today’s digital economy and the foundation of modern AI, and we are at an inflection point in how it is built, secured, and scaled,” said Arvind Krishna, Chairman and CEO, IBM. “With 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. This is about strengthening trust in the systems that power business, government, and society.”

Launching a Trusted Open Source Security Clearinghouse

Project Lightwell builds on IBM and Red Hat’s proven enterprise open source model, extending it beyond their traditional product footprint. IBM already uses more than 62,000 open source packages, with deep expertise in over 10,000. Across technologies like Linux, Java, Kubernetes, Kafka, Ansible, Terraform, Flink, Cassandra and more, the companies operate one of the industry’s broadest commercial open source ecosystems, historically providing lifecycle management, validation, and patching for components within their platforms. Now, IBM and Red Hat are applying the same engineering discipline to the broader application landscape, including independent libraries, language toolchains, AI frameworks, and data streaming platforms.

This approach directly addresses the operational vulnerabilities enterprises face when managing independent open source code on their own. Through the clearinghouse model, enterprise organizations can:

  • Report and resolve vulnerabilities: Responsibly share sensitive security issues discovered in their active software versions within a trusted intermediary framework.
  • Deploy validated patches: Receive patches optimized for production environments, spanning both Red Hat offerings and independent community code.
  • Coordinate upstream disclosures: Share fixes upstream so that open source communities can include them in long-term maintenance.

This model allows enterprises to engage IBM and Red Hat to resolve critical security issues while strengthening open source overall through responsible upstream disclosure.

AI-Powered Engineering at Global Scale

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At a time when many technology companies are using AI to reduce technical headcount, IBM and Red Hat are taking a different approach, positioning technical engineering capacity as a premium strategic asset and a source of market differentiation.

IBM and Red Hat will deploy a team of more than 20,000 engineers, augmented by advanced AI capabilities. This global technical force will operate across upstream and enterprise environments, focusing on:

  • Upstream maintenance alongside open source community leaders;
  • High-volume, AI-assisted vulnerability review, triage, and prioritization;
  • Secure patch development, dependency hardening, and release engineering.

Project Lightwell supports government priorities to secure digital infrastructure, protect critical systems, and strengthen the overall resilience of open source software ecosystems.

More information about Project Lightwell is available https://www.ibm.com/products/lightwell.

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