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How to handle a ransomware attackĀ 

IBM Big Data Hub

The good news is that in the event of a ransomware attack, there are basic steps any organization can follow to help contain the attack, protect sensitive information, and ensure business continuity by minimizing downtime. Based on projected results of a composite organization modeled from 4 interviewed IBM customers.

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10 projects top of mind for IT leaders today

CIO Business Intelligence

This attack and a steady drumbeat of others over the years have put cybersecurity front and center not only for CISOs but for CIOs, too, says Chad Anderson, assistant professor of information systems and analytics at Miami Universityā€™s Farmer School of Business. Foundry / CIO.com 3.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental ā€œone offā€ phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

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Database Activity Monitoring ā€“ A Security Investment That Pays Off

Smart Data Collective

Does DAM need a user behavior analytics (UBA) module? A subscription model with annual or monthly payments is the most common licensing mechanism at this point. Do database activity monitoring systems need user behavior analytics features? How can database activity monitoring (DAM) tools help avoid these threats?

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

Every out-of-place event needs to be investigated. Detection: One of the first signs of a website spoofing attack is an unusual or too-good-to-be-true request ā€“ such as a special Amazon sale offering 25% discount on the latest model of the iPhone. You know very well itā€™s not going to happen.

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New SIEM Alternative Offers Excellent Data Security Features

Smart Data Collective

There are a lot of benefits of using Security Information and Event Management (SIEM) systems to protect data from hackers. Since data is normalized before storage, it is easier to build a good AI system for correlating security alerts and events and establishing context to facilitate more effective automated detection and responses.

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