Anthropic launches Project Glasswing: Ai for computer security
The driving force behind the project is Claude Mythos Preview, a 'frontier' model, not yet released to the public, which Anthropic describes as capable of changing the rules of the computer security game.
It is called Project Glasswing. Inside are Amazon, Apple, Broadcom, Cisco, CrowdStrike, Linux Foundation, Microsoft and Palo Alto Networks. Objective: to secure the most critical software on the planet. The one that underpins infrastructure, networks, digital services and a large slice of the real economy.
The driving force behind the project is Claude Mythos Preview, a 'frontier' model, not yet released to the public, which Anthropic describes as capable of changing the rules of the computer security game. Translated: a machine that reads code, reasons, acts, and finds holes where traditional automated tools pass over like an unloaded metal detector.
The numbers help to understand the scale. Anthropic is putting up to $100 million in usage credits and another $4 million in direct donations to organisations working on open source security. Not only that. In addition to launch partners, the company extends access to the model to some 40 additional organisations that develop or maintain critical software and infrastructure.
The promise is ambitious: use Ai not to attack, but to defend. And to do it quickly. Because the time window between the discovery of a vulnerability and its exploitation has shrunk brutally: what used to take months can now happen in minutes.
In Anthropic's account there are already concrete results. In recent weeks, Mythos Preview has reportedly identified thousands of zero-day vulnerabilities, many defined as critical. Some had been hidden for years, almost fossilised in the code. The oldest, the company says, is a 27-year-old bug in OpenBSD, an operating system known precisely for its reputation as a fortress. Another flaw, 16 years old, was allegedly found in a popular video software, in a line of code traversed five million times by automatic tests without anyone noticing the problem.



