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 ...

GCHQ has revealed plans for a pioneering national AI cyber shield, believed to be the first of its kind globally. The system, ...

GCHQ wants to use AI to combat threats from Russia, China, and elsewhere.

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 ...

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 ...

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 ...

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 ...

In the era of artificial intelligence, hackers are leveraging AI-driven techniques to breach even the most robust cyber protection programs. These AI-driven cyberattacks are reshaping the ...

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 ...

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 ...

New considerations are necessary as more businesses adopt machine learning at scale. In association withCapital One Nearly 75% of the world’s largest companies have already integrated AI and machine ...