Almost every secure connection on the internet, from a bank’s login page to a messaging app, relies on math problems that an ...

Most of the conversation about quantum computing and cybersecurity has revolved around the potential for data theft, ...

Anthropic said its Mythos model—which currently remains available only to a select group of trusted users—was able to advance attacks against two cryptosystems. The first system is HAWK, a digital ...

The original version of this story appeared in Quanta Magazine. In our increasingly digital lives, security depends on cryptography. Send a private message or pay a bill online, and you’re relying on ...

The government is concerned that hackers could someday decrypt financial information and other secrets using code-breaking ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The creation of classical computing may have paved the way for the modern ...

Over the past several years, there has been a steady drumbeat of warnings about the impact of quantum computing on traditional encryption methods, with consistent calls for organizations – both within ...

The National Institute of Standards and Technology (NIST) has announced its first three post-quantum cryptographic algorithms, which will be able to safeguard data even in the event that quantum ...

There is no doubt that quantum computers will play a significant role in helping the world solve complex challenges not possible on current classical computers. However, quantum computers also pose a ...

The National Institute of Standards and Technology (NIST) has selected a group of cryptographic algorithms to secure the Internet of Things (IoT) devices and the related tiny sensors and actuators.

The day when quantum computers can break present-day cryptography is coming, and it is a shorter time frame than previously thought. The potential “blast radius” to the United States from code ...

Mathematicians often toil in obscurity, and that's likely because few people, apart from fellow mathematicians who share the same sub-specialty, understand what they do. Even when algorithms have ...