CDW Research Hub

JANUARY 8, 2020

But, how do you move from simply amassing data to compiling useful analytics for a proactive security approach? The best next step for your team depends on where you currently are on the path to optimizing data intelligence.

Strategy 52

Strategy Business Driver Behavioral Analytics Risk 52

IBM Big Data Hub

AUGUST 14, 2023

2] Using existing data in QRadar SIEM, the User Behavior Analytics app (UBA) leverages ML and automation to establish the risk profiles for users inside your network so you can react more quickly to suspicious activity, whether from identity theft, hacking, phishing or malware so you can better detect and predict threats to your organization.

Cost-Benefit 56

Cost-Benefit Machine Learning Consulting Data mining 56

Rocket-Powered Data Science

JULY 6, 2021

AIOps appears in discussions related to ITIM (IT infrastructure monitoring), SIEM (security information and event management), APM (application performance monitoring), UEBA (user and entity behavior analytics), DevSecOps, Anomaly Detection, Rout Cause Analysis, Alert Generation, and related enterprise IT applications. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

CDW Research Hub

SEPTEMBER 6, 2022

Just as importantly, it provides access to your customer behaviors through data collection while customers interact with those sites. The power behind CIAM lies beyond securing and easing customer access to your applications, websites and portals—although it does that, too. B2B access management.

Management 93

Management B2B Behavioral Analytics Risk 93