From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The pace of digital innovation is rapidly increasing, and emerging technologies powered by artificial intelligence and machine learning are changing the digital landscape. Alongside advancements, ...

In a constantly evolving cyberthreat landscape where firewalls and antiviruses have become old hat, organizations must adopt more technologically advanced ways to protect crucial data. Advanced ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...

The cybersecurity industry is in a turbulent period. As artificial intelligence (AI) becomes increasingly powerful, the threat landscape has been entirely transformed, as hackers, bristling with AI ...

CY4Gate SpA ( ($IT:CY4) ) just unveiled an update. CY4Gate has secured a three-year contract worth about €5.6 million with a major Italian ...

LAWRENCE, Kan.--(BUSINESS WIRE)--Cobalt Iron Inc. today announced that it has received another new patent, this time for machine learning-driven cyber inspection. Issued on Sept. 19, U.S. Patent ...

As artificial intelligence moves from experimentation to production and cyber threats escalate, the Middle East is entering a ...

Using an internally developed machine learning model trained on log data, the information security team for a French bank found it could detect three new types of data exfiltration that rules-based ...

Saryu Nayyar is CEO of Gurucul, a provider of behavioral security analytics technology and a recognized expert in cyber risk management. Providing effective cybersecurity measures for your ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Faced with an onslaught of malware-less attacks that are increasingly ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning. Machine learning (ML) is a ...