Apple’s reputation for device security is once again under scrutiny after researchers said they used Anthropic’s secretive Mythos AI model to help uncover a new path around the Mac maker’s defenses.
According to a report cited by The Wall Street Journal, Calif, a Palo Alto-based security research company, discovered a way to chain together two bugs and several technical steps to corrupt Mac memory and gain access to areas of the device that are normally off limits. The issue, researchers said, amounts to a privilege-escalation exploit that could become far more dangerous if paired with other attacks.
Apple is now reviewing the findings, a company spokesperson told the Journal. “Security is our top priority, and we take reports of potential vulnerabilities very seriously,” the spokesperson said.
How the flaw was found
Researchers said the discovery came while they were testing an early version of Anthropic’s Mythos AI software in April. The model, which has been described as a highly capable but tightly controlled frontier system, was used as part of a broader security research effort. The resulting techniques reportedly helped the Calif team identify a route through Apple’s protections that had not been publicly documented before.
Thai Dong, chief executive of Calif, said the attack was not the result of artificial intelligence alone. Instead, he said it required the judgment and experience of human cybersecurity specialists working alongside the model. In other words, the AI was a tool in the process, not a replacement for expert analysis.
Calif delivered a 55-page report in person to Apple in Cupertino detailing its findings, according to the Journal. The company has not yet publicly released the underlying technical details, saying it plans to do so only after Apple addresses the issues.
Why the findings matter
Privilege escalation flaws are among the more serious classes of security bugs because they can let an attacker move beyond normal access limits. On a Mac, that can mean reaching protected parts of the operating system, escalating control, and potentially setting the stage for deeper compromise.
Researchers emphasized that the flaw they identified would likely need to be combined with other vulnerabilities or attack methods to fully compromise a machine. But even so, the discovery is significant because it shows that Apple’s layered security model, widely considered among the strongest in consumer computing, can still be undermined under the right conditions.
The report also highlights a broader shift in cybersecurity: frontier AI models are increasingly being used not only to generate code or content, but also to assist in vulnerability research, fuzzing, and exploit discovery. In this case, the model’s involvement appears to have accelerated or guided the researchers’ search for weaknesses in Apple’s defenses.
Apple’s response and next steps
Apple has not disclosed whether the reported issue affects the latest versions of macOS or specific device families. The company is reportedly validating the findings before determining whether a software update or security bulletin is needed.
Security researchers typically work with vendors under coordinated disclosure rules, giving companies time to patch flaws before public details are released. Calif has indicated it will share more about the vulnerability once Apple has had a chance to fix the underlying problems.
Dong told the Journal he expects the bugs “will likely be fixed pretty quickly,” suggesting the company sees the issue as serious but manageable once Apple completes its review.
A new role for AI in security research
The case is likely to draw attention far beyond Apple users. Anthropic’s Mythos model has remained relatively secret, in part because of concerns that advanced systems could be used to probe or break software defenses. The latest report suggests those concerns are not theoretical: AI systems may soon become routine in both defensive and offensive cybersecurity work.
For Apple, the immediate challenge is to determine the scope of the vulnerability and release any necessary fixes. For the broader tech industry, the episode is another reminder that even heavily fortified platforms can contain hidden weaknesses, and that the tools used to find them are evolving quickly.
If Calif’s claims are confirmed, the result could lead to a patch affecting macOS security components and potentially additional guidance for users and enterprise administrators. Until then, Apple users are likely to be watching closely for any security updates that address the reported flaw.
What is already clear is that the intersection of artificial intelligence and cybersecurity is becoming harder to ignore. In this case, a model designed to push the boundaries of what AI can do appears to have helped researchers push through one of the most closely guarded systems in consumer computing.