Ransomware and Artificial Intelligence: A Comprehensive Systematic Review of Reviews

This study provides a comprehensive synthesis of Artificial Intelligence AI, especially Machine Learning ML and Deep Learning DL, in ransomware defense. Using a "review of reviews" methodology based on PRISMA, this paper gathers insights on how AI is transforming ransomware detection, prevention,...

The CVE Deluge of 2025: Why It’s More Than Just a Number Problem

If you’re on the go and don’t have time to sit down with the full blog, we’ve put together an in depth audio breakdown so you can catch the key insights anytime, anywhere. The year 2025 marks a turning point in cybersecurity. It's the year the floodgates opened in the world of cyber. For years, t...

Taming Data Challenges in ML-Based Security Tasks: Lessons from Integrating Generative AI

Machine learning-based supervised classifiers are widely used for security tasks, and their improvement has been largely focused on algorithmic advancements. We argue that data challenges that negatively impact the performance of these classifiers have received limited attention. We address the...

AI in Cybersecurity: What's Effective and What's Not – Insights from 200 Experts

Curious about the buzz around AI in cybersecurity? Wonder if it's just a shiny new toy in the tech world or a serious game changer? Let's unpack this together in a not-to-be-missed webinar that goes beyond the hype to explore the real impact of AI on cybersecurity. Join Ravid Circus , a seasoned...