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, ...

GCHQ has developed plans for a new national AI cyber shield, thought to be the first of its kind in the world.The system, which is hoped to be running within five years, will use AI agents to detect ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The Central Industrial Security Force (CISF) has expanded its training programmes over the past year, with increased focus on ...