TL;DR
Anthropic is expanding Project Glasswing from an initial group of about 50 partners to roughly 150 more organizations after early participants found more than 10,000 high- or critical-severity flaws. The focus is shifting from detection to verification, disclosure, patching and deployment as AI-assisted vulnerability discovery scales faster than remediation capacity.
Anthropic is expanding Project Glasswing to roughly 150 additional organizations after an initial group of about 50 partners found more than 10,000 high- or critical-severity software flaws, a development that shifts the program’s focus from finding vulnerabilities to fixing them before similar AI capabilities spread more widely.
According to the source material, the first Project Glasswing cohort received access to Claude Mythos Preview in early April and began scanning their codebases for security vulnerabilities. Anthropic has since reported that those partners found more than 10,000 high- or critical-severity flaws in a matter of weeks.
The expanded group is expected to include organizations across more than 15 countries, with new representation from power, water, healthcare, communications, hardware and software vendor sectors. The source material says most of the organizations serve critical infrastructure or maintain code used by many other companies and governments.
Anthropic’s stated requirement is that new participants meet its security standards before receiving access. The Glasswing tooling is being made available to trusted security teams on request, while Claude Security has been released for broader use with public frontier models such as Claude Opus 4.8 to scan codebases and suggest patches.
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
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Amazon Product B07SLBTLF3
As an affiliate, we earn on qualifying purchases.
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.

Cute-Patch It Works on My Machine Meme Embroidered Iron on sew on Patch Funny Emblem Programmer Humor
Size: 3 inches tall
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Amazon Product B0GFXPFLY6
As an affiliate, we earn on qualifying purchases.
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
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.

CompTIA CySA+ Certification Kit: Exam CS0-003 2025-2026: A Complete Cybersecurity Analyst Study System for Mastering Threat Detection, Incident Response and Security Monitoring With 1000 practice
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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 security work may be moving faster than the systems that handle remediation. Finding a serious flaw is only the first step; teams must still verify the issue, disclose it responsibly, write a patch, test the change and deploy it across affected systems.
The source material frames the new pressure point as downstream work. If a small vetted group can surface more than 10,000 severe flaws in weeks, security teams may face large backlogs unless patching and disclosure capacity rise at the same pace.
The stakes are higher for infrastructure providers and widely used vendors. A vulnerability in software used across many downstream systems can affect organizations that were never part of the original scan.
Background
Project Glasswing is Anthropic’s collaborative effort to help secure widely used software. Its first known phase gave about 50 partners access to Claude Mythos Preview for vulnerability scanning.
The expansion marks a broader use of the same class of model beyond detection. According to the source material, partners are using Mythos-class systems to write patches, run pre-release checks, support penetration testing and rebuild some legacy code in memory-safe languages.
Open source software is also part of the plan. Anthropic is described as being in talks to scale review and patching of open source vulnerabilities and to share disclosure practices so maintainers can triage AI-identified reports more easily.
What Remains Unclear
Several details remain unclear. The source material does not name the new partner organizations, list the affected products, identify which flaws have been confirmed independently, or say how many vulnerabilities have already been patched and deployed.
It is also unclear how Anthropic will measure success across the expanded program, how disclosure will be coordinated with open source maintainers, and whether all participating organizations will use the same remediation process.
What’s Next
The next stage is the onboarding of the additional organizations and the movement of identified flaws through verification, disclosure, patching and deployment. Anthropic is also expected to keep expanding access to trusted security teams while developing practices for open source vulnerability handling.
Key Questions
What is Project Glasswing?
Project Glasswing is Anthropic’s collaborative security program aimed at finding and fixing vulnerabilities in widely used software, including systems tied to critical infrastructure and major software vendors.
What changed in the expansion?
The program is growing from an initial group of about 50 partners to roughly 150 additional organizations. The source material says the new cohort includes sectors such as power, water, healthcare, communications, hardware and vendors.
What did the first partners find?
According to the source material, early partners using Claude Mythos Preview found more than 10,000 high- or critical-severity security flaws in weeks.
Why is the focus moving beyond scanning?
Detection at that scale creates a remediation backlog. Security teams still have to confirm each flaw, disclose it responsibly, patch the code, test the fix and deploy it.
What remains unknown?
The source material does not say which systems were affected, how many flaws have been patched, or how many reports involve open source projects rather than private codebases.
Source: Thorsten Meyer AI