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MoneyGram Confirms Hackers Stole Customer Data

The September 2024 cyberattack affected both personal and transactional information, impacting customer ID numbers, financial data, and more.

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moneygram confirms hackers stole customer data

Finance platform MoneyGram has revealed that hackers accessed and stole customer data — including personal and transactional information — in a recent cyberattack. The company disclosed on Monday that an unauthorized party “accessed and acquired” this information during a cyber incident on September 20. The breach also caused a week-long outage, which took down the company’s website and mobile app.

MoneyGram, which is used by over 50 million customers across more than 200 countries annually, said the investigation into the breach was still in its early stages. Experts have yet to determine the full extent of the data hack, with MoneyGram spokesperson Sydney Schoolfield so far declining to comment beyond the company’s public statement.

According to MoneyGram, the stolen data includes various personal details, such as names, phone numbers, postal and email addresses, dates of birth, and national identification numbers. A “limited number” of Social Security numbers and government-issued identification documents, including driver’s licenses and other personal documents, were also exposed. The specific types of stolen data will vary depending on the individual customer.

Also Read: UAE Residents Rank Third For Password Forgetfulness

Additionally, the hackers obtained transaction information, including dates and amounts, along with criminal investigation data related to fraud for some customers.

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OpenAI’s ChatGPT Health Is A Private Space For Health Data

A new health mode lets the popular AI platform tap medical records and fitness apps while walling off sensitive information.

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openai's chatgpt health is a private space for health data
OpenAI

OpenAI has created ChatGPT Health, a separate space inside its chatbot platform for handling medical and wellness data. The opt-in feature starts with a small US cohort before widening out.

Health-related questions have long driven traffic to AI tools. OpenAI says over 230 million people ask ChatGPT about health or insurance each week. The new mode adds personal context to that behavior but stops short of diagnosis or treatment advice.

Users can connect records from participating US providers through b.well and link apps such as Apple Health, MyFitnessPal, Function and Weight Watchers. Some links are US-only, while Apple Health needs iOS. Once connected, ChatGPT can surface patterns in labs, summarize information ahead of a clinic visit or help map diet and exercise choices against past data.

The data sits apart from other chat information. Health has its own memories and does not spill into other conversations. Users can view or delete health memories at any time. OpenAI says this material is not used to train its models.

Security is much heavier in this section too. Health adds isolation and purpose-built encryption on top of the platform’s baseline protections. App connections require explicit permission, and disconnecting cuts the feed immediately.

“ChatGPT Health is another step toward turning ChatGPT into a personal super-assistant that can support you with information and tools to achieve your goals across any part of your life,” wrote Fidji Simo, OpenAI’s applications chief.

Also Read: Deliverect Rolls Out Self-Order Kiosks Across MENA

Physicians had input during development, though OpenAI has not detailed how that shaped the end product. The launch follows Health Bench, a dataset released in May to test models on realistic medical cases.

While currently rooted in the US healthcare ecosystem, the approach may draw interest in the Gulf and wider MENA markets as governments push digital health records and patient portals under modernization programs. Adoption will depend on whether users trust an AI assistant with such personal material and whether it fits clinical routines.

For OpenAI, the move marks a cautious step into regulated terrain and signals a shift toward sector-specific uses of generative AI.

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