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.

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

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...

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

Meanwhile, the adoption of AI and machine learning (ML) has surged by 500% over the past year. Despite this rapid growth, organizations have improved security, reducing publicly exposed AI workloads ...

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.

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 ...

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

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 ...