Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

Tanuj Mathur uses AI and machine learning to create a cybersecurity framework, improving patch management, regulatory ...

Bob Gourley, co-founder and CTO of the cybersecurity consultancy OODA and former CTO at the Defense Intelligence Agency, says ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are being increasingly deployed across the nuclear industry, from enhancing operational efficiency to strengthening security ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

This new advanced security integration between Hugging Face and JFrog differs from existing ML model scanners due to JFrog’s malicious code decompilation and deep data flow analysis.

Microsoft said it used thousands of real-world sample scams to train the machine learning model that underpins scareware blocker. It then uses computer vision to compare these samples with new ...

Hackers are targeting machine identities. Token Security just raised $20M to stop them. Charles Rollet 12:41 PM PST · January 27, 2025 ...

As artificial intelligence (AI) and machine learning (ML) continue to advance, Linux has established itself as the preferred environment for AI development. Its open source nature, security, stability ...