What is the story about?
Artificial intelligence is rapidly becoming a key weapon in the fight against cyber threats, and Anthropic is now pushing that frontier further.
The company has introduced a new cybersecurity-focused initiative, Project Glasswing, alongside a powerful AI model named
Claude Mythos. The effort brings together some of the biggest names in technology, including Apple, in a bid to identify and fix critical software vulnerabilities before they can be exploited.
Project Glasswing is a collaborative effort designed to strengthen the security of widely used software systems. Anthropic has partnered with a broad coalition of technology leaders, ranging from cloud providers and chipmakers to financial institutions and cybersecurity firms.
“Today we’re announcing Project Glasswing, a new initiative that brings together Amazon Web Services, Anthropic, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks in an effort to secure the world’s most critical software," notes Anthropic.
In addition to these major players, more than 40 other organisations responsible for building or maintaining essential software infrastructure have been granted early access to Anthropic’s Mythos Preview model. The idea is to allow these partners to uncover and patch vulnerabilities before such capabilities become widely accessible.
The initiative reflects growing concern that increasingly capable AI systems could be misused if they fall into the wrong hands, making early defensive deployment crucial.
Claude Mythos represents a significant leap in AI-driven cybersecurity analysis. According to Anthropic, the model has already demonstrated an ability to detect deeply embedded flaws that have gone unnoticed for years.
“Mythos Preview has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser. Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout—for economies, public safety, and national security—could be severe. Project Glasswing is an urgent attempt to put these capabilities to work for defensive purposes," says Anthropic.
In several instances, the model has identified vulnerabilities that persisted despite decades of human scrutiny and extensive automated testing. One notable case involved uncovering and linking weaknesses in the Linux kernel that could potentially grant full system control to an attacker.
Interestingly, this is the same model that surfaced in a leak last month. The leaked draft claimed that the model significantly outperforms its predecessor, Claude Opus 4.6, particularly in areas such as coding, academic reasoning and cybersecurity.
Beyond security, Mythos also shows improvements in reasoning capabilities, agentic search functions, and autonomous coding tasks, indicating a broader evolution in AI performance.
Anthropic has made it clear that Claude Mythos Preview will not be released for general public use at this stage. Instead, access remains tightly controlled among selected partners participating in Project Glasswing.
“We do not plan to make Claude Mythos Preview generally available,” Anthropic says, “but our eventual goal is to enable our users to safely deploy Mythos-class models at scale—for cybersecurity purposes, but also for the myriad other benefits that such highly capable models will bring," notes Anthropic.
For now, the focus remains on using the model as a defensive tool, ensuring that its capabilities are harnessed responsibly while the industry prepares for a future where such powerful AI systems become more widespread.
The company has introduced a new cybersecurity-focused initiative, Project Glasswing, alongside a powerful AI model named
What is Anthropic's Project Glasswing?
Project Glasswing is a collaborative effort designed to strengthen the security of widely used software systems. Anthropic has partnered with a broad coalition of technology leaders, ranging from cloud providers and chipmakers to financial institutions and cybersecurity firms.
“Today we’re announcing Project Glasswing, a new initiative that brings together Amazon Web Services, Anthropic, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks in an effort to secure the world’s most critical software," notes Anthropic.
We’ve partnered with Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks.
Together we’ll use Mythos Preview to help find and fix flaws in the systems on which the world depends. pic.twitter.com/FnnhSkPLNQ
— Anthropic (@AnthropicAI) April 7, 2026
In addition to these major players, more than 40 other organisations responsible for building or maintaining essential software infrastructure have been granted early access to Anthropic’s Mythos Preview model. The idea is to allow these partners to uncover and patch vulnerabilities before such capabilities become widely accessible.
The initiative reflects growing concern that increasingly capable AI systems could be misused if they fall into the wrong hands, making early defensive deployment crucial.
Claude Mythos: How does it work?
Claude Mythos represents a significant leap in AI-driven cybersecurity analysis. According to Anthropic, the model has already demonstrated an ability to detect deeply embedded flaws that have gone unnoticed for years.
“Mythos Preview has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser. Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout—for economies, public safety, and national security—could be severe. Project Glasswing is an urgent attempt to put these capabilities to work for defensive purposes," says Anthropic.
Mythos Preview has already found thousands of high-severity vulnerabilities—including some in every major operating system and web browser. pic.twitter.com/YuW484PVrr
— Anthropic (@AnthropicAI) April 7, 2026
In several instances, the model has identified vulnerabilities that persisted despite decades of human scrutiny and extensive automated testing. One notable case involved uncovering and linking weaknesses in the Linux kernel that could potentially grant full system control to an attacker.
Interestingly, this is the same model that surfaced in a leak last month. The leaked draft claimed that the model significantly outperforms its predecessor, Claude Opus 4.6, particularly in areas such as coding, academic reasoning and cybersecurity.
Beyond security, Mythos also shows improvements in reasoning capabilities, agentic search functions, and autonomous coding tasks, indicating a broader evolution in AI performance.
Availability
Anthropic has made it clear that Claude Mythos Preview will not be released for general public use at this stage. Instead, access remains tightly controlled among selected partners participating in Project Glasswing.
We do not plan to make Mythos Preview generally available. Our goal is to deploy Mythos-class models safely at scale, but first we need safeguards that reliably block their most dangerous outputs.
We’ll begin testing those safeguards with an upcoming Claude Opus model.
— Anthropic (@AnthropicAI) April 7, 2026
“We do not plan to make Claude Mythos Preview generally available,” Anthropic says, “but our eventual goal is to enable our users to safely deploy Mythos-class models at scale—for cybersecurity purposes, but also for the myriad other benefits that such highly capable models will bring," notes Anthropic.
The Claude Mythos Preview system card is available here: https://t.co/TMtIy8xHiP
— Anthropic (@AnthropicAI) April 7, 2026
For now, the focus remains on using the model as a defensive tool, ensuring that its capabilities are harnessed responsibly while the industry prepares for a future where such powerful AI systems become more widespread.
