AI Floods Apple Vulnerability Reports
The Surge of AI Submissions
Artificial intelligence networks have flooded Apple with vulnerability reports. Consequently, the company has restricted new submissions. Some incoming materials reveal dangerous discoveries. However, poorly verified or completely fabricated problems constitute a significant portion of this influx. Artificial intelligence describes these fake issues convincingly.
Apple altered its rules in June. Now, researchers can keep only a limited number of reports open simultaneously. After exhausting this quota, the portal enforces a 30-day pause. Furthermore, submitting additional materials requires a quota increase request. The company linked these restrictions to a sharp industry-wide rise in AI-generated submissions.
AI Accelerates Discovery
Artificial intelligence certainly accelerates vulnerability discovery. Yet, it simultaneously enables novice researchers to submit unverified assumptions en masse. A model might find a genuine bug. Conversely, it could miscalculate consequences or invent nonexistent attack scenarios. Each report demands expert verification.
Apple also utilizes artificial intelligence for initial submission sorting. The internal security team cannot manage the increased volume of materials alone. A similar problem affects developers across the entire industry. They are already overwhelmed by low-quality, AI-generated reports. Recently, the Italian startup Bynario demonstrated the consequences of these new restrictions.
Bynario Exposes macOS Flaws
The team used ChatGPT effectively. Within three weeks, they discovered over 50 alleged flaws in the current macOS version. Among these findings was a privilege escalation chain. This chain could grant an attacker unrestricted system access and total control over an Apple computer.
Unfortunately, Bynario could not submit this dangerous chain’s description through the portal. The startup had exhausted its available quota. Later, Apple contacted the researchers directly and began verifying the submitted materials. The company emphasized that authors of critical reports can request a limit increase anytime.
A History of Cybersecurity
Founders established the Milan-based startup in 2025. Seven people work at Bynario today. Three co-founders previously worked at the Italian company Hacking Team. This prior firm developed digital surveillance software. Hackers leaked Hacking Team’s tools and internal materials after a 2015 cyberattack.
In 2025, Bynario reported eight vulnerabilities to Apple. Developers fixed one problem in the November update. During 2026, the startup managed to submit five more reports. After that, the portal refused new submissions. The chain discovered by Bynario exploits logic errors rather than memory corruption.
Logic Errors Over Memory Flaws
An attacker forces trusted macOS components to execute permitted actions in an unintended sequence. Individual operations do not violate security rules. However, combining several steps expands access and grants system privileges. Alfredo Pezoli, CEO and co-founder of Bynario, estimated the potential value of such a chain. On the criminal market, it could fetch between $100,000 and $200,000.
According to the executive, software developers and vendors face a difficult period. They must handle an enormous volume of discovered flaws. This new finding continues a series of incidents. In these cases, artificial intelligence transforms security dynamics by helping identify weaknesses in Apple device security.
Advancements in Memory Security
In September 2025, the company introduced Memory Integrity Enforcement. This mechanism prevents attacks through memory corruption. Apple called this development the greatest memory security enhancement in consumer operating system history. Eight months later, researchers from Calif in Palo Alto reported bypassing this new mechanism.
Specialists utilized Anthropic’s Mythos model successfully. They discovered the first exploit for current Apple software based on memory corruption. Bynario’s chain operates differently by exploiting logic errors in trusted components. This difference shows that neural networks can find weaknesses beyond memory processing. They also uncover flaws in sequences of permitted system operations.
Expanding the Bounty Program
Apple also expanded its vulnerability bounty program in 2025. The maximum base payout for the most severe and complex attack chains reaches $2 million. Including additional bonuses, a researcher could earn up to $5 million. Artificial intelligence helps Apple parse external submissions and find bugs in its own products.
During this week’s operating system updates, the company credited Anthropic and OpenAI tools. These tools helped discover several vulnerabilities on Apple devices. The new update cycle contained approximately five times more security fixes than previous releases.
The Dual Impact of AI
This sharp increase demonstrates the dual impact of neural networks on cybersecurity. Models accelerate the search for dangerous bugs. Simultaneously, they create a flood of submissions requiring manual verification. Sophos Threat Intelligence Director Reily Pilling noted a distinct shift. Novice researchers can now mass-submit speculative reports easily.
Meanwhile, experienced specialists find complex attack chains faster. Consequently, the main problem for bounty programs is shifting. It is no longer just finding vulnerabilities. Instead, the challenge lies in verifying, evaluating, and fixing discoveries at the speed of automated systems.
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