Centraleyes

MARCH 25, 2024

And, of course, in 2024, you’ll find solutions that tout technologies such as Artificial Intelligence (AI), Machine Learning (ML), and threat intelligence to augment vulnerability data with contextual insights. Manual vulnerability and risk management is no longer possible or efficient in today’s complex ecosystems.

Antivirus 52

Antivirus Firewall Risk Software 52

eSecurity Planet

MARCH 17, 2023

With faster response times, a more centralized platform, and artificial intelligence-powered workflows, many companies select XDR tools to optimize or go beyond what their SIEM and UEBA tools can do. BAS works in the background of daily operations and is frequently automated with artificial intelligence and machine learning.

Network Security 117

Network Security Penetration Testing Firewall Antivirus 117

eSecurity Planet

FEBRUARY 11, 2022

Machine learning (ML) and artificial intelligence (AI) have emerged as critical tools for dealing with the ever-growing volume and complexity of cybersecurity threats. Even some of the top consumer antivirus tools have begun to add machine learning-based detection. Each local instance trains its model on its dataset.

Cybersecurity 145

Cybersecurity Phishing Risk Artificial Intelligence 145

eSecurity Planet

JANUARY 11, 2022

Abnormal Security applies artificial intelligence to catch suspicious identities, relationships, and context within email communications and can help organizations securely migrate from legacy to cloud infrastructure. Also read: Antivirus vs. EPP vs. EDR: How to Secure Your Endpoints.

Cybersecurity 142

Cybersecurity Threat Detection Artificial Intelligence Risk 142