Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

in London on December 1-2 around cloud security, adds that the most commonly used form of machine learning within cyber defences is anomaly detection. Right now, that’s where automation is likely to ...

Blockchain and artificial intelligence (AI) are two transformative forces reshaping the digital landscape. While AI enhances ...

Today we are releasing an open automation framework, PyRIT (Python Risk Identification Toolkit for generative AI), to empower security professionals and machine learning engineers to proactively find ...

SOAR enables the automation of security workflows ... Padamati's prowess in automated machine learning techniques is critical to his advanced vulnerability management framework.

Machine learning can do what humans cannot, enabling automation for insights at scale. Policy recommendations: The process of building security policies is often a very manual effort that has no ...

“Machine learning presents unique and novel approaches for thinking about security in more thoughtful ways,” agreed Hanif. Both are encouraged by a recent surge of interest and effort in ...

An automated security policy generation method is proposed in this paper, integrating rule-matching with machine learning models to dynamically adapt to network security conditions, thereby ...

In terms of security, machine learning can help improve efficiency, reduce alerts and guide how we make decisions. From automation workflow recommendations to false positive reduction, and from ...

The 2022 Complete Learn Coding & Automation Bundle gives you hands-on practice with machine learning, data management, and automation to apply in your daily work. All eight courses in this bundle ...