Claude AI Just Cracked a Post-Quantum Test Scheme and Found a Faster 7-Round AES Attack

A Potent Threat Unfolds: Claude AI Cracks Post-Quantum Test Scheme, Exposes Faster AES Attack

In a stunning revelation that’s left the cybersecurity community reeling, Claude AI has successfully cracked a post-quantum test scheme and identified a faster 7-round attack on the widely used Advanced Encryption Standard (AES) encryption algorithm. The breakthrough raises serious concerns about the security of online transactions, data storage, and communication networks, particularly in the face of emerging quantum computing threats.

Claude AI is an artificial intelligence model developed by Google to simulate human-like conversations and problem-solving abilities. Its creators have been exploring various applications for Claude, including cybersecurity research. In this instance, the AI model was tasked with analyzing a post-quantum test scheme designed to evaluate the security of cryptographic systems against potential quantum attacks. The test scheme, known as NTRU-based encryption, is considered one of the most promising alternatives to traditional RSA and elliptic curve cryptography.

What’s particularly alarming about Claude’s findings is that it has identified a faster 7-round attack on AES, which is currently used by billions of devices worldwide for secure data transmission. AES is considered a robust encryption standard, but Claude AI’s discovery suggests that attackers could potentially exploit its weaknesses to compromise sensitive information. The implications are far-reaching, as AES is used in various applications, including secure web browsing, online banking, and cloud storage services.

The fact that Claude AI was able to crack the post-quantum test scheme and identify a faster attack on AES highlights the growing threat posed by artificial intelligence in cybersecurity. As AI models become increasingly sophisticated, they will undoubtedly uncover new vulnerabilities and weaknesses in cryptographic systems. This underscores the need for organizations to adopt proactive security measures, including continuous monitoring and vulnerability assessments.

Given the gravity of this situation, it’s essential for businesses and individuals to take immediate action to safeguard their online assets. By staying informed about emerging threats and implementing robust security protocols, we can mitigate the risks associated with quantum computing attacks and other AI-driven vulnerabilities. This means regularly updating software and systems, using secure encryption standards, and educating users on best practices for data protection.

In light of Claude AI’s groundbreaking discovery, it’s clear that cybersecurity professionals must adapt to the evolving threat landscape. By embracing AI-powered research and development, we can stay ahead of emerging threats and ensure the continued security of our online world.


Source: The Hacker News — 2026-07-28