iPhone and Mac security has faced a serious challenge from artificial intelligence for the first time: Anthropic’s Mythos AI model helped researchers bypass Apple’s hardware security system Memory Integrity Enforcement (MIE), which Apple engineers spent five years developing. In this article, we’ll break down how memory protection works in new Macs and iPhones, what exactly happened, how dangerous this is for the average user, and what steps can help you protect your data right now.
The vaunted macOS protection was dismantled in just a few days
Memory Protection in iPhone and Mac: What MIE Technology Does
Memory Integrity Enforcement is a hardware memory protection technology that Apple built into its newest processors. Its purpose is to make classic memory attacks practically impossible. The system works like this: every memory allocation is tagged with a secret code, and if something tries to access that memory region without the correct tag, the hardware blocks the attempt and logs the event.
Apple seemingly secured its devices well, but AI found a vulnerability
Put simply, imagine a safe where each compartment can only be opened with its own unique key. Even if malicious software finds a loophole in an application’s code, without the correct “tag” it cannot read or modify other data in memory — the processor simply blocks the access.
Apple introduced MIE in iPhone 17 and M5 chips, which power the latest MacBook Pro models. According to the company’s own research, MIE is capable of neutralizing all known exploit chains, including the recently leaked Coruna and Darksword toolkits. This was Apple’s bet on taking device security to a fundamentally new level.
How Mac’s M5 Security Was Bypassed Using AI
Anthropic’s Mythos AI helped independent hackers bypass Memory Integrity Enforcement — the hardware security system used in M5 processors. Apple spent five years developing MIE, while the Palo Alto startup Calif claimed that using Mythos Preview, they found bugs in the M5 chip and assembled a working exploit in five days.
iPhone and Mac Security: How AI Broke Apple’s Security System
Calif describes the exploit as a data-only local kernel privilege escalation chain targeting macOS 26.4.1. The attack starts from a regular user account and ultimately gives the attacker full control over the machine. Using a combination of two exploits and numerous bypass techniques, the attack works even with MIE active.
The key point is the role of the Mythos model itself. Mythos Preview didn’t just assist — it actively participated in the process: it found bugs and worked alongside humans to develop the exploit from start to finish. The model quickly identified vulnerabilities because they belonged to a class of problems that Mythos had previously studied.
The AI model doesn’t act on its own — it accelerates the human researcher’s work by tens of times.
It’s important to understand: bypassing MIE without human involvement was not achieved — the AI provided high-speed pattern recognition, while humans were responsible for decision-making. In other words, this isn’t “AI hacked a Mac by itself,” but rather a combination of an expert and a model that radically accelerated what previously took months.
Which Apple Devices Are at Risk Due to the New Vulnerability
If you’re not a system administrator at a large company and don’t work with classified data, there’s no need to panic. The Calif exploit is not a virus that automatically spreads across a network, nor is it a vulnerability you can catch by clicking a link. It’s a research proof-of-concept that requires physical or remote access to an account on a specific machine.
Nevertheless, the bigger picture matters. Apple has spent years building a reputation as the most secure consumer platform — and this is backed not by a single technology but by a comprehensive set of measures. MIE is just one of these layers, and breaching one layer doesn’t mean the entire system collapses.
The specific risks look like this:
- The exploit targets macOS 26.4.1 — if you’re using a newer or older version, this particular chain may not work.
- The vulnerability requires existing access to the system (for example, through a downloaded malicious application).
- The attack currently exists only as research code and is not spreading en masse.
- iPhone 17 with MIE is also theoretically vulnerable to a similar approach, but no public exploits for smartphones have been demonstrated.
macOS Security Update: How Apple Will Patch the MIE Flaw
Cupertino took the situation seriously. An Apple representative told The Wall Street Journal that security is the top priority and the company takes reports of potential vulnerabilities very seriously.
In its blog, Calif reported that it held an in-person meeting with Apple earlier last week — indicating that Apple intends to fix the issue as urgently as possible. The Palo Alto startup plans to publish a 55-page technical report after Apple begins distributing the exploit fix, but no patch has been released as of yet.
In practice, this means a macOS update closing the vulnerability will appear in the coming weeks — watch for minor macOS 26 releases and install them immediately after release. This is the simplest and most reliable way to close this particular hole.
Anthropic Mythos: AI for Finding Code Vulnerabilities
Mythos is a new family of Anthropic models specializing in code analysis and vulnerability discovery. Last month, Anthropic released a preview version of Mythos after tests showed the model can find and exploit vulnerabilities better than most public AI systems.
