AT&T has launched a new security feature called “Wireless Lock” that protects customers from SIM swapping attacks by preventing changes to their account information and the porting of phone numbers while the feature is enabled.

This new feature has been available for some customers for almost a year and has now been rolled out to all AT&T customers.

SIM swap attacks are when cybercriminals port, or move, a targeted phone number to a device under their control. This allows them to intercept the target’s calls, texts, and multi-factor authentication codes to breach further accounts, such as email, banking, and cryptocurrency wallets.

While your online banking session may still feel secure, the foundations of digital encryption are facing a quiet but accelerating threat. A research

Trustwave links Blind Eagle cybercrime group to Proton66 hosting, targeting Colombian banks with VBS and RATs.

BYD, an electric vehicle company, is accused of cooking the books and faking profitability, potentially hiding financial issues such as a liquidity crisis and unprofitable electric vehicle business.

Questions to inspire discussion.

Financial Concerns Q: What are the warning signs of BYD’s potential financial trouble? A: BYD is offering massive discounts of 10–30% on already affordable vehicles, with some models selling for as low as $10,000, and allegedly has a 12-month payment delay to suppliers. Q: How is BYD’s automotive business reportedly staying afloat? A: BYD’s automotive business is allegedly being carried by their highly profitable battery cell supply business, which is not separately reported in their financials, making it difficult to determine the true profitability of their electric vehicle sales.

SaaS platforms lack comprehensive data protection, exposing organizations to data loss, compliance risks, and cyberthreats.

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.

A machine learning approach that could provide greater data privacy is federated learning, which entails the collaborative training of a shared neural network by various users or parties that are not required to exchange any raw data with each other. This technique could be particularly advantageous when applied in sectors that can benefit from AI but that are known to store highly sensitive user data, such as health care and finance.

Researchers at Tsinghua University, the China Mobile Research Institute, and Hebei University recently developed a new compute-in-memory chip for federated learning, which is based on memristors, non-volatile electronic components that can both perform computations and store information, by adapting their resistance based on the electrical current that flowed through them in the past. Their proposed chip, outlined in a paper published in Nature Electronics, was found to boost both the efficiency and security of federated learning approaches.

Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create “magic states”—a key component for fault-tolerant quantum computers. By pioneering a low-level, or “level-zero,” distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.

Attackers exploit Docker misconfigurations to mine cryptocurrency using Tor, targeting technology, financial, and healthcare industries.

Texas Governor Greg Abbott has signed Senate Bill 21 (SB21), officially authorizing the creation of the Texas Strategic Bitcoin Reserve, a state-managed fund that will hold Bitcoin as part of the state’s long-term financial assets.

The newly established reserve operates independently of Texas’ general treasury system and aims to strengthen the state’s financial resilience while serving as a potential hedge against inflation, according to the bill text.

Furthermore, only assets with a market capitalization exceeding $500 billion are eligible for inclusion, a threshold currently met only by Bitcoin (BTC).

For decades, quantum computers that perform calculations millions of times faster than conventional computers have remained a tantalizing yet distant goal. However, a new breakthrough in quantum physics may have just sped up the timeline.

In an article titled “Efficient Magic State Distillation by Zero-Level Distillation” published in PRX Quantum, researchers from the Graduate School of Engineering Science and the Center for Quantum Information and Quantum Biology at the University of Osaka devised a method that can be used to prepare high-fidelity “magic states” for use in quantum computers with dramatically less overhead and unprecedented accuracy.

Quantum computers harness the fantastic properties of quantum mechanics such as entanglement and superposition to perform calculations much more efficiently than classical computers can. Such machines could catalyze innovations in fields as diverse as engineering, finance, and biotechnology. But before this can happen, there is a significant obstacle that must be overcome.