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Grindr has reportedly agreed to pay £26 million (around $35 million) to settle a UK privacy lawsuit alleging that it shared sensitive user data, including some users’ HIV status, with advertisers.

The claim was brought by London law firm Austen Hays on behalf of roughly 12,000 UK Grindr users. It alleges that the dating app breached privacy and data-protection laws during a period ending in early 2020.

The claimants allege that Grindr shared personal and highly sensitive information with advertising companies without consent. According to Austen Hays, the shared data may have included ethnicity, HIV status, the date of a user’s last HIV test, and whether they used pre-exposure prophylaxis (PrEP).

At the time of the alleged data sharing practices, Grindr was owned and controlled by the Chinese gaming company Beijing Kunlun Tech. Grindr was sold to US owners in 2020.

According to a US regulatory filing, Grindr will make two payments of £13 million: one by December 31, 2026, and the second by March 31, 2027.

In its SEC filing, Grindr said that the settlement is not an admission of liability and, while it disputes the allegations, it:

recognizes and acknowledges the distress and loss of trust expressed by some of its UK users regarding that pre-2020 period.

The UK settlement follows a separate enforcement case in Norway. The country’s Data Protection Authority found that Grindr had shared users’ personal data with advertising partners for behavioral advertising without a valid legal basis.

These cases illustrate a crucial privacy point: information does not need to be explicitly labeled as medical information or information about sexual orientation to expose intimate details about someone. Advertising identifiers, IP addresses, locations, device information, and confirmation that a person uses a particular app can be combined to identify them or draw sensitive conclusions about their life.

Many free apps rely on advertising SDKs, analytics providers, and other third parties to make money. These integrations can receive identifiers and event data that help target or measure advertising, but they can also create extensive trails of user behavior.

How to protect your privacy on dating apps

Grindr says it has overhauled its privacy program since 2020 and remains committed to user control and responsible data practices. Even so, dating apps can hold unusually personal information about their users.

To limit what you reveal:

• Review the app’s privacy settings and turn off optional personalized advertising where available.
• Limit your profile to details you’re comfortable sharing with potential matches.
• Avoid linking a dating profile to public social-media accounts unless you want identities to be easily connected.
• Revoke location permissions when you’re not actively using the app, or choose “while using the app” rather than continuous access where your operating system offers it.
• Keep the app, your operating system, and your security software updated.
• Watch for romance scams and extortion attempts, particularly requests to move the conversation off the app, send money, share intimate photos, or reveal identifying information.

If you’re unsure whether a message may be part of a scam, you can check it with Malwarebytes Scam Guard, which can help you assess the conversation and decide what to do next.

Scammers don’t need to hack you. They just need you to click once. 

Malwarebytes Identity Theft Protection catches suspicious activity before it becomes a problem.

Mobile compliance now requires governance over how sensitive data is accessed across managed and personal devices. Here are practical steps for sustainable enterprise compliance.

William Webster, the biometrics and surveillance camera commissioner for England and Wales, reflects on the state of facial recognition in the UK

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Hi HN. I built this because I wanted a VM with a real GeForce GPU without losing the card on my desktop.

It allows you to run CUDA and graphics in VMs without VFIO/vGPU by forwarding the NVIDIA driver's own ioctl surface from the guest to the host.

That means stock libcuda and real Vulkan ICD run in the guest - no CUDA/Vulkan API remoting or translation. Display, LLM, CUDA, headless supported. Your desktop keeps using the same card, multiple VMs supported.

Happy to go into the details of the architecture.

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