Skip to main content

US Fertility says patient data was stolen in a ransomware attack

U.S. Fertility, one of the largest networks of fertility clinics in the United States, has confirmed it was hit by a ransomware attack and that data was taken.

The company was formed in May as a partnership between Shady Grove Fertility, a fertility clinic with dozens of locations across the U.S. east coast, and Amulet Capital Partners, a private equity firm that invests largely in the healthcare space. As a joint venture, U.S. Fertility now claims 55 locations across the U.S., including California.

In a statement, U.S. Fertility said that the hackers “acquired a limited number of files” during the month that they were in its systems, until the ransomware was triggered on September 14. That’s a common technique of data-stealing ransomware, which steals data before encrypting the victim’s network for ransom. Some ransomware groups publish the stolen files on their websites if their ransom demand isn’t paid.

U.S. Fertility said some personal information, like names and addresses, were taken in the attack. Some patients also had their Social Security numbers taken. But the company warned that the attack may have involved protected health information. Under U.S. law, that can include information about a person’s health or medical conditions, like test results and medical records.

A spokesperson did not immediately respond to a request for comment about the incident. (Thursday is a national holiday in the U.S..)

U.S. Fertility didn’t say why it took more than two month to publicly disclose the attack, but said in the notice that its disclosure was not delayed at the request of law enforcement.

This is the latest attack targeting the healthcare sector. In September, one of the largest hospital systems in the U.S., Universal Health Services, was hit by the Ryuk ransomware, forcing some affected emergency rooms to close and to turn patients away. Several other fertility clinics have been attacked by ransomware in recent months.

Read more:



from TechCrunch https://ift.tt/33mriYV
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT