TL;DR
Anthropic is expanding Project Glasswing from an initial group of about 50 partners to roughly 150 organizations, according to the source material. The move follows reports that early partners found more than 10,000 high- or critical-severity flaws, shifting pressure from detection to verification, disclosure, patching and deployment.
Anthropic is expanding Project Glasswing to roughly 150 organizations after an initial group of about 50 partners found more than 10,000 high- or critical-severity software vulnerabilities, according to the source material, shifting the program’s focus from finding flaws to helping partners verify, disclose, patch and deploy fixes.
Project Glasswing is Anthropic’s collaborative program aimed at securing widely used software. In early April, about 50 initial partners were given access to Claude Mythos Preview and began scanning their codebases for vulnerabilities. The source material says those partners later identified more than 10,000 high- or critical-severity flaws.
The expansion adds about 150 organizations across more than 15 countries. According to the source material, the new group includes organizations in power, water, healthcare, communications, hardware and software vendor sectors. Each partner must first meet Anthropic’s security requirements.
The program is being reframed around the work that follows discovery. Partners are using Mythos-class models not only to scan code, but also to write patches, run pre-release checks, support penetration testing and rebuild some legacy code in memory-safe languages, according to the source material.
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 finding serious vulnerabilities at high volume can create a new operational problem: organizations must confirm the findings, notify affected parties, patch software and deploy fixes before attackers can exploit the same classes of flaws.
The source material says many of the added partners serve critical infrastructure or maintain code relied on by other organizations and governments. If those systems contain exploitable flaws, the effects could spread beyond one company’s network to hospitals, utilities, communications systems or downstream software users.
Background
Glasswing began with about 50 partners using Claude Mythos Preview to scan codebases. That early phase showed the model could surface large numbers of serious flaws quickly, according to the source material. The current expansion changes the center of work from vulnerability discovery to remediation.
The source material also says Anthropic is discussing ways to scale open-source vulnerability review and patching, including best practices for disclosing AI-found flaws to maintainers. That issue matters because open-source projects are often maintained by small teams or volunteers who may struggle to triage a sudden rise in reports.
What Remains Unclear
It is not yet clear which organizations are joining the expanded cohort, how many of the reported flaws have been verified, how many have been patched, or how many remain unresolved. The source material does not provide a public breakdown by severity, sector, affected product or disclosure status.
It is also uncertain whether other labs will release comparable models within the 6- to 12-month window cited in the source material, or what safeguards those releases may include.
What’s Next
The next test for Project Glasswing is whether participating organizations can turn large-scale vulnerability discovery into verified fixes that reach production systems. Anthropic is also expected to keep working on disclosure practices for open-source maintainers and on sharing selected Glasswing tooling with trusted security teams.
Key Questions
What is Project Glasswing?
Project Glasswing is Anthropic’s collaborative effort to use AI models to help secure major software systems, starting with partner codebase scans and now moving further into patching and deployment work.
What changed in the expansion?
The program is growing from about 50 initial partners to roughly 150 organizations. The source material says the new partners span more than 15 countries and include sectors such as power, water, healthcare, communications, hardware and software vendors.
What did the first partners find?
According to the source material, the first group found more than 10,000 high- or critical-severity vulnerabilities after receiving access to Claude Mythos Preview in early April.
Why is the focus moving beyond scanning?
Large-scale scanning can produce more findings than teams can quickly fix. The program is now aimed at verification, disclosure, patch creation, pre-release checks and deployment so discovered flaws are actually closed.
What remains unknown?
The public material does not identify all participating organizations, list the affected software, confirm how many flaws have been patched, or show how many findings were false positives.
Source: Thorsten Meyer AI
