Security researchers are now only allowed to submit a limited number of open vulnerability reports to Apple at any one time; after that, a 30-day waiting period applies. The reason is a wave of automatically generated vulnerability reports that the testing teams can no longer keep up with. Apple has confirmed the change – and is thus facing a contradiction in its own security strategy.
Language models now find security vulnerabilities faster than humans can test them. For Apple, this has two opposing consequences: The company prioritizes security updates because attackers use the same tools – and at the same time, it throttles the channel through which researchers report their findings. Our overview of Apple's security updates explains how Apple's update cycle works in general and why installing updates is so important.
Key Facts at a Glance
- In June, Apple introduced a limit on the number of open vulnerability reports at any one time, along with a 30-day waiting period.
- Researchers can request an increase in their quota, but they must do so actively.
- The trigger is an industry-wide wave of AI-generated reports of varying quality.
- A seven-member security team was blocked, even though one of its earlier reports had led to a patch.
- GitHub had recently introduced a tiered system for its own program.
What Apple has specifically changed
The change affects the internal security portal through which researchers submit their findings. Apple has limited the number of new reports a user can have open at one time. Once this limit is reached, a 30-day waiting period applies.
Anyone wishing to report more information must request an upgrade. Apple emphasizes that this is possible at any time and is straightforward, ensuring that critical reports continue to reach the security teams.
The rule has been in effect since June. It only became public knowledge now through research by the Financial Times, to which Apple confirmed the change.
Why the flood occurred in the first place
Modern language models can not only detect vulnerabilities, but also chain them together and transform them into functioning attack vectors. What used to require weeks of specialized work can now be accomplished in days.
How far this can go was demonstrated by a security team in May: Using an AI model, they built a working attack on the macOS kernel on M5 hardware within five days. We described the case at the time, when an AI model uncovered new macOS vulnerabilities and Apple reviewed the report.
The downside: Alongside credible findings, countless reports flood inboxes that sound plausible but don't stand up to scrutiny. The term "AI slop" has become established in the industry for this phenomenon. Apple isn't alone in this – GitHub recently switched its bug bounty program to a tiered system that separates vetted researchers from anonymous submissions.
The case that brought the change to light
The new rule was revealed by a seven-person security firm that uses modern AI tools. This year, it reported five vulnerabilities to Apple, compared to eight last year – one of which was patched in November.
Despite this record, further submissions from the team were blocked. Among them was a privilege escalation chain that could have allowed an attacker to gain complete control of a Mac.
Only after the media coverage did Apple contact the company and is now reviewing the findings. This is precisely the problem with quantity limits: they don't differentiate between mass-produced goods and documented work, but simply count the quantity.
How the thread has developed since April
This report is not an isolated event, but rather the provisional endpoint of a development that can be traced over four months.
| Date | Event |
|---|---|
| April 7, 2026 | Apple launches a joint security project with an AI provider |
| May 14, 2026 | An AI model creates a working macOS attack within five days. |
| June 2026 | Apple introduces a cap and a 30-day lock-in period – initially unnoticed |
| June 30, 2026 | Security updates are being prioritized due to AI-driven attack risks. |
| July 27, 2026 | iOS 26.6 closes 78 vulnerabilities; AI tools are mentioned in the acknowledgments. |
| August 3, 2026 | The quantity limit will be made public |
The connection between the third and fourth lines is noteworthy. Apple introduced throttling and, a few weeks later, brought forward security updates that were actually intended for iOS 26.6 – both in response to the same cause, but with opposing effects.
Deliver faster, accept deliveries slower
Apple is accelerating the rollout of security updates while simultaneously slowing down the acceptance of security reports. Both are understandable on their own. Together, they create a strategy that is becoming more open on the outgoing side and more closed on the incoming side.
Furthermore, there's an imbalance in the selection process. Apple is officially working with an AI provider on vulnerability scanning – while a small team using the same class of tools is being held back by quotas. The difference lies not in the methodology, but in access.
A quantity limit is a crude answer to a quality problem. The tiered model that GitHub has chosen addresses the same flood of reports without hindering productive contributors. Apple's decision to take the simpler approach likely has to do with the effort involved – a rating system for researchers needs to be maintained, a number doesn't.
Nothing changes for you immediately, except for one thing: the frequency of security updates has increased, and updates are now also released outside the usual schedule. Installing them promptly has therefore become more important than it was a year ago.
Where the search for vulnerabilities is headed
The real question behind this announcement is not how many reports a company can process, but rather who will be allowed to submit reports in the future. If access is regulated through quotas and partnerships, security research shifts from an open field to a circle of accredited participants. (Image: Apfelpatient)
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