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Apple’s Private Relay Flaw Could Expose Users’ Real IP Addresses

Apple’s Private Relay, a privacy feature designed to conceal users’ IP addresses while browsing with Safari, can be bypassed under certain conditions, allowing websites to identify a user’s real IP address, according to security researchers.

The researchers have published their findings and launched an online tool that lets users check whether their IP address is exposed despite having Private Relay enabled. Independent testing has confirmed that the issue can reveal a user’s actual IP address in some cases.

Issue Linked To WebKit

According to researchers Talal Haj Bakry and Tommy Mysk, the vulnerability stems from three features within WebKit, Apple’s browser engine used across iOS browsers.

Unlike a traditional virtual private network (VPN), Private Relay protects browsing activity only within Safari and is available exclusively to iCloud+ subscribers. Because the feature operates at the browser level rather than across the entire operating system, its privacy protections are more limited than those offered by a VPN.

Researchers Bypass Apple’s Reporting Process

Rather than reporting the issue through Apple’s security programme, the researchers chose to disclose their findings publicly. Mysk said previous interactions with Apple had been marked by lengthy delays, inconsistent communication and disagreements over the significance of reported vulnerabilities, leading the team to publish the research directly.

Apple has not publicly commented on the findings. The researchers also said their own privacy-focused browser, Psylo, includes safeguards designed to prevent this type of IP address leakage.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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