Apple Intelligence - AI against Apple: the new threat that undermines Cupertino's defenses

Apple Intelligence - For years applehas built its image around a very precise concept: security and privacy first of all. It's one of the reasons why millions of users continue to choose iPhone, Mac and iPad over the competition. But in recent weeks something has cracked. And we're not talking about classic malware or the usual bug fixed with a software update.

This time AI is at the center of the problem. More precisely, Apple Intelligence.

According to various research published by cybersecurity experts and reported by European and international newspapers, some researchers have managed to bypass the artificial intelligence protections integrated into Apple systems through sophisticated "prompt injection" attacks. A technique that, until recently, seemed confined to online chatbots, but which today could turn into one of the most serious threats to the entire AI ecosystem.

And this is where it gets interesting. Because when AI is no longer just a virtual assistant but enters directly into the operating system, then every flaw can become a huge potential risk.

Apple Intelligence under attack: what really happened

The information that has arrived in recent weeks is clear: some researchers in the cybersecurity world have discovered methods to manipulate Apple Intelligence, causing it to ignore the protections integrated by Apple.

In practice, scholars have used advanced prompt injection techniques to "convince" the AI ​​to execute unauthorized instructions.

The fundamental point is that Apple Intelligence is not a simple online chatbot like those accessible from the browser. It is deeply integrated into iOS, macOS and the entire Apple ecosystem. This means it can interact with applications, personal data, notifications, documents and system functions.

And this is where the concern arises.

According to reports published during the RSAC 2026 conference, researchers managed to manipulate Apple's local model using a combination of “Neural Exec” attacks and particularly sophisticated Unicode techniques.

The result? In many cases, AI has bypassed the so-called "guardrails", i.e. the protections that should prevent dangerous or unauthorized behavior.

In some tests the success rate reached as high as 76%.

And no, it's not simply about making the virtual assistant say a bad word. That was just the most immediate way to publicly demonstrate the vulnerability. The real risk is much greater.

Why is this AI vulnerability so concerning?

The key word here is: integration.

Apple built Apple Intelligence with a very different approach than other industry giants. Part of the processing takes place directly on the device, while more complex operations are handled via the Private Cloud Compute system.

On paper it's a brilliant solution:

• greater privacy;
• less data sent online;
• more secure local processing;
• total control of the ecosystem.

But it is precisely this deep integration that makes AI an incredibly interesting target.

If an attacker manages to manipulate an AI system connected directly to the operating system, then they could theoretically:

• influence app behavior;
• read sensitive information;
• perform unexpected actions;
• bypass some security restrictions;
• alter content or responses.

And that's exactly why the cybersecurity community is sounding a very serious alarm.

The problem, in fact, does not only concern Apple. It's about the future of artificial intelligence integrated into personal devices.

The real challenge of AI: prompt injection

Over the past two years the term “prompt injection” has become increasingly important in the world of cybersecurity.

Simply put, it is a technique that takes advantage of the fact that AI models struggle to distinguish between legitimate instructions and malicious instructions hidden in content.

It's a bit like if someone managed to slip secret orders into an apparently harmless conversation.

And this is precisely the critical point.

When the AI ​​reads emails, PDFs, web pages or external documents, it may encounter hidden instructions designed to manipulate it.

According to several researchers, this represents one of the biggest weaknesses of modern LLMs.

What's impressive is that these attacks don't necessarily require traditional malware. In many cases, appropriately constructed content is enough.

And this is why the cybersecurity sector is starting to talk openly about a future "AI security crisis". Apple is taking action, but the war has just begun

It must be said clearly: Apple did not stand idly by.

According to reports published by researchers, many of the vulnerabilities demonstrated have already been corrected internally by the company following the reports received in recent months.

And this is where the interesting side of the story emerges.

Apple is already using advanced AI systems to test the security of its software. Even some macOS vulnerabilities would have been identified with the support of advanced AI models.

In practice we are entering a new era of cybersecurity:

• AI that protects systems;
• AI attacking systems;
• AI that searches for vulnerabilities;
• AI trying to block other AI.

A true digital arms race.

And we are probably only at the beginning.

Is the Apple ecosystem safe?

The question everyone is asking is inevitable: should we worry?

To date, there have been no mass attacks against Apple users using these techniques. Published research mostly speaks of demonstrative exploits carried out in controlled environments.

But the signal is strong.

For the first time we clearly see that even systems designed with an obsessive focus on privacy and security can become vulnerable when artificial intelligence comes into play.

And it's a problem that doesn't just affect Apple.

Google, Microsoft, OpenAI, Anthropic, and virtually all AI companies are facing the same challenge: how to prevent increasingly powerful models from being manipulated.

The real point is that language models don't "reason" like human beings. They process text, patterns, and statistical instructions. And this inevitably opens up new attack vectors.

The future of AI security passes through here

What we are seeing today may just be a small taste of what is to come in the coming years.

With the arrival of AI increasingly integrated into operating systems, cars, home automation and personal devices, cybersecurity will completely change its face.

Traditional vulnerabilities will continue to exist, but a new level of risk will be added: manipulating the behavior of artificial intelligence itself.

And this is where Apple, together with the entire tech sector, will have to demonstrate that they are ready.

Because if AI truly becomes the center of our devices, then protecting it will be as important as protecting the operating system itself.

Source:Wall Street Journal