This article explores the foundations of AI-driven cyber-attacks, examining how attackers leverage these technologies and the implications for cybersecurity. The Evolution of Ransomware ...

System predicts 85 percent of cyber-attacks using input from human experts by Adam Conner-Simons AI2 combs through data and detects suspicious activity using unsupervised machine-learning.

AI software is increasingly available to all, and criminals can learn how these programs work in order to adjust their attacks to avoid detection. It is also possible to use AI to disguise malware ...

OCTOBER 27, 2020 — Researchers in UTSA’s College of Business Cyber Center for Security and Analytics have partnered with Raytheon Intelligence & Space to study the use of artificial intelligence to ...

--ARIA Cybersecurity Solutions, a CSPi business that delivers a software-defined approach for improved cyber-attack incident detection and response, announced today it will be using the NVIDIA ...

Thankfully, artificial intelligence (AI) and machine learning (ML) have emerged as formidable allies in this ongoing battle, offering innovative approaches to detect and prevent cyber threats ...

In the same way, botnets have become significantly more dangerous, conducting intelligent DDoS attacks, identifying and exploiting zero-day vulnerabilities and evading detection using AI-enhanced ...

According to Register, “the recurring cycle is: 1) hackers come out with a new tool or technology that lets them attack systems or evade detection more effectively; 2) those attacks cause enough ...

AI threat detection — or AI that “understands you” — is a critical tool that can help organizations protect themselves, said Toby Lewis, head of threat analysis at cybersecurity platform ...