Joseph Steinberg

APRIL 20, 2021

In some cases, Voice-over-IP numbers are not acceptable as cellphone numbers either – meaning that registrants must increase their cyber-risk by providing their actual cellphone numbers to a party that has offered no information about how that data will be protected.

Healthcare 165

Healthcare Insurance Computers and Electronics Data collection 165

Spinone

JUNE 8, 2018

From identity theft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security. Assessing initial security insights with the help of machines is the way to streamline cyber risk management operations in the long run.

Big data 40

Big data Artificial Intelligence Cyber Attacks Identity Theft 40

Centraleyes

APRIL 1, 2024

A is for Automation Automated compliance functions such as data collecting, monitoring, and reporting are increasingly automated to save manual labor and increase accuracy. now including governance as a core function of cyber GRC and risk management.

Risk 52

Risk Government Artificial Intelligence Software 52

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. It will manage vulnerabilities, detect threats, triage risks, distribute updates, and monitor assets.

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. Unlike EDR, NDR focuses less on actual devices and more on network traffic behavior analysis via packet data.

Network Security 120

Network Security Penetration Testing Firewall Antivirus 120