TL;DR
Anthropic is expanding Project Glasswing from about 50 early partners to roughly 150 more organizations after the first group found more than 10,000 high- or critical-severity vulnerabilities. The main issue has shifted from finding flaws to validating, disclosing, patching and deploying fixes.
Anthropic is expanding Project Glasswing, its collaborative cybersecurity program, to roughly 150 additional organizations after about 50 early partners used Claude Mythos Preview to find more than 10,000 high- or critical-severity software flaws, according to source material from Thorsten Meyer AI.
The expansion moves Project Glasswing beyond its early cohort and into a broader set of organizations across more than 15 countries. The new participants include groups in power, water, healthcare, communications, hardware and software vendor sectors, according to the source material.
Anthropic’s stated focus is not only finding more flaws. The source material says the program is shifting work toward verification, disclosure, patch writing and deployment, because the first phase created a large queue of severe findings that now need to be resolved.
Participants must meet Anthropic’s security requirements before gaining access. The source material says many of the new partners operate software used by critical infrastructure or by downstream customers, including governments and other large organizations.
The bottleneck moved — from finding flaws to fixing them
50 partners found 10,000+ critical vulnerabilities in weeks. So the constraint is no longer detection — it’s verify, disclose, patch, deploy. Anthropic is expanding Project Glasswing to ~150 organizations, and pivoting its weight toward the new chokepoint.
From 50 partners to ~150 — aimed at the leverage points
Not just more headcount. The new group reaches sectors the first cohort underrepresented, and leans toward vendors whose code sits under thousands of downstream systems.
each must meet Anthropic’s security requirements first
cybersecurity vulnerability scanning tools
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Finding used to be the hard part
For the whole history of the field, detection was the scarce, skilled work — the chokepoint. A model that surfaces 10,000 critical flaws in weeks inverts that. Toggle before/after and watch the bottleneck move.
The defensive pipeline — where the constraint sits
Same five stages. The chokepoint slides downstream.
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AI redeployed downstream — and pushed beyond the cohort
Glasswing is consciously shifting its weight from finding toward disclosing, fixing & deploying. The same model helps at the new bottleneck.
Defensive tasks Mythos-class models now take on
Beyond scanning — the work that actually closes the gap.
Writing patches
Partners use the model to fix what it finds — not just flag it.
Pre-release checks
Preventing vulnerabilities from appearing in the first place.
Penetration testing
Simulating attacks to see how a flaw might be exploited.
Rebuilding in memory-safe languages
Attacking whole vulnerability classes at the root.
Claude Security
Uses public frontier models like Claude Opus 4.8 to scan codebases & suggest patches.
The Glasswing tooling
The vuln-finding tools, to trusted security teams — so partners’ methods replicate widely.
code vulnerability detection software
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Why the urgency is named, not gestured at
The program’s tempo is the tempo of a race against diffusion. Anthropic puts a number on the deadline.
Within 6–12 months, many other labs will have Mythos-class models — and could release them without safeguards.
In that world, cyberattacks could occur much more often, and in much more unpredictable forms. The strategic theory of the whole program: build the defensive head start now, while the capability is still scarce and gated — so when it’s cheap and everywhere, defenders already stand on higher ground.
Capability is scarce & gated
Mythos-class power sits with vetted Glasswing partners under Anthropic’s requirements.
Capability goes ambient
Other labs ship Mythos-class models — possibly ungoverned. The window to prepare closes.
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Read it with its difficulties in view
Several are real — some Anthropic states outright, some inherent to the situation. None cancels the core, but all deserve to be held.
Dual use — and the safeguards don’t exist yet
The same capability that finds-and-patches can find-and-exploit. Anthropic says general release needs safeguards that it, and to its knowledge all other developers, have yet to develop. The caution is the clearest evidence of the power.
Gated, even as the logic demands breadth
Advanced defensive capability is allocated by one company’s selection — yet the announcement’s own case is that hundreds of thousands will need access. “Must be gated for safety” sits in tension with “must be widespread to work.”
Not a neutral observer
A frontier lab is at once warning of the danger, helping constitute it, and selling the response (Claude Security, the tooling, the Cyber Verification Program). The warning isn’t wrong — but the commercial frame is worth holding alongside the public-interest one.
Toward a permanent advantage for defenders
Cybersecurity has long been asymmetric in the attacker’s favor — defenders close every hole, attackers need one. The north star is to flip that.
More essential infrastructure
Plus critical-OSS maintainers & safety testers, US & overseas.
Cyber Verification Program
Mythos-class capability for specific cyberdefense tasks — breadth without waiting on full-release safeguards.
Make all software secure
And help the industry adjust how AI changes the core assumptions of cybersecurity.
Reading it in proportion
- The core is hard to argue with: AI made finding cheap & abundant; the bottleneck genuinely moved to patching & deployment; redirecting effort there is sane.
- The caveats sit alongside, not against: one company’s program, one company’s gate, a timeline & products that company has reason to advance — and admittedly-missing release safeguards.
- Hold both halves: the danger is plausible and the 10,000 flaws are real; the response is reasonable and commercially convenient; the aspiration is worthy and unproven.
Why It Matters
The expansion matters because AI-assisted vulnerability discovery can create a defensive backlog. Finding thousands of severe flaws is useful only if the affected organizations can confirm the findings, report them to the right maintainers, prepare patches and ship fixes before attackers exploit the same classes of weaknesses.
The program also points to a wider concern in cybersecurity: advanced code-scanning models may become more widely available within months. Anthropic’s theory, as described in the source material, is that vetted defenders need a head start before similar capabilities spread more broadly.
Background
Project Glasswing is described as Anthropic’s effort to help secure widely used software. In early April, about 50 initial partners received access to Claude Mythos Preview and began scanning codebases for vulnerabilities.
The source material says those partners found more than 10,000 high- or critical-severity flaws in a matter of weeks. It also says Anthropic is making separate security tooling available beyond the cohort, including Claude Security for broader market use and Glasswing vulnerability-finding tools for trusted security teams on request.
Open source software is a key part of the effort. Anthropic is said to be discussing ways to scale review and patching of open source vulnerabilities while sharing disclosure practices meant to help maintainers handle AI-generated reports.
What Remains Unclear
Several details remain unclear. The source material does not identify all participating organizations, list the specific vulnerabilities found, state how many have been independently verified or say how many patches have already reached production systems.
It is also unclear how Anthropic will measure success across the expanded cohort, how disclosure will be coordinated with open source maintainers, and whether other AI labs will release comparable models on the timeline cited in the source material.
What’s Next
The next phase is execution: partners must validate findings, coordinate disclosures, write and test patches, and deploy fixes across affected systems. Anthropic is also expected to continue widening access to security tooling for trusted teams while refining practices for open source vulnerability reporting.
Key Questions
What is Project Glasswing?
Project Glasswing is Anthropic’s collaborative program aimed at using advanced AI models to help find and fix vulnerabilities in high-impact software systems.
What is new now?
Anthropic is expanding the program to about 150 more organizations after roughly 50 early partners found more than 10,000 high- or critical-severity vulnerabilities.
Why is the program shifting focus?
The source material says detection is no longer the main constraint. The harder work now is confirming findings, disclosing them responsibly, preparing patches and getting fixes deployed.
Which sectors are involved?
The expanded cohort includes organizations tied to power, water, healthcare, communications, hardware and software vendors, according to the source material.
What remains unknown?
The public details do not yet show how many findings have been fixed, which systems were affected, or how many reported vulnerabilities will prove exploitable after review.
Source: Thorsten Meyer AI
