Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Some can even automatically respond to threats.

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Artificial Inteligence Examples Applications Machine Learning 93

Palo Alto Networks

JANUARY 23, 2023

Of course, automation will also help state and local agencies navigate around the skills gap by harnessing AI and machine learning to protect against an increasing volume of automated attacks. It is specifically designed to identify infected devices and block known exploits, malware, malicious URLs and spyware in 5G environments.

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Lacework

JANUARY 25, 2023

Threat detection identifies and analyzes the following types of threats so that security teams can formulate strategies to mitigate risk. Malware Malware is malicious software that infects a machine or network. Types of malware include viruses, trojan horses, ransomware, and spyware. What does TDR protect against?

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Security Malware Artificial Inteligence Spyware 52

Kaseya

OCTOBER 3, 2023

Thanks to built-in machine learning and advanced analytics capabilities, EDR only gets better at detecting and responding to threats with time. This feature enables companies to demonstrate compliance with security regulations and build customer trust. What are EDR capabilities? EDR is one of the tools found in their toolbox.

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