Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...

This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It responds to ...

New considerations are necessary as more businesses adopt machine learning at scale. In association withCapital One Nearly 75% of the world’s largest companies have already integrated AI and machine ...

SAN FRANCISCO--(BUSINESS WIRE)--RSA CONFERENCE-- Protect AI, the leading artificial intelligence (AI) and machine learning (ML) security company, today announced that it was voted Cutting Edge Machine ...

A primary goal of machine learning is to use machines to train other machines. But what happens if there’s malware or other flaws in the training data? Machine learning and AI developers are starting ...

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning. Machine learning (ML) is a ...

MILPITAS, Calif.--(BUSINESS WIRE)--FireEye, Inc. (NASDAQ: FEYE), the intelligence-led security company, today announced the addition of MalwareGuard™ – a new advanced machine learning based detection ...

Malware continues to be one of the most effective attack vectors in use today, and it is often combatted with machine learning-powered security tools for intrusion detection and prevention systems.

Chip maker Intel has been chosen to lead a new initiative led by the U.S. military’s research wing, DARPA, aimed at improving cyber-defenses against deception attacks on machine learning models.

Bottom Line: Machine learning is enabling threat analytics to deliver greater precision regarding the risk context of privileged users’ behavior, creating notifications of risky activity in real time, ...