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. Machines can recognize patterns to detect malware and unusual activity better than humans and classic software. AI vs. ML vs. Deep Learning.

Cybersecurity 131

Cybersecurity Phishing Analytics Risk 131

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

The Last Watchdog

OCTOBER 19, 2022

It’s only a first step and there’s a long way to go. Data gathering, data analytics, machine learning and digital automation have advanced to the level where they could be leveraged to accomplish much greater things. Related: How matter addresses vulnerabilities of smart home devices. Interoperability needed.

Manufacturing 37

Manufacturing Analytics Cloud Communications 37

eSecurity Planet

JULY 12, 2023

usage fee per Enterprise Cloud Security Platform unit used. The solution offers its full feature set and capabilities across five different public cloud environments: AWS, Google Cloud Platform, Microsoft Azure, Oracle Cloud, and Alibaba. for a 12-month subscription through AWS Marketplace.

Cloud 85

Cloud Security Compliance Risk 85