IBM Adds New Features to MaaS360 with Watson UEM Product

IBM announced on Monday that it has added two new important features to its “MaaS360 with Watson” unified endpoint management (UEM) solution.

UEM solutions allow enterprise IT teams to manage smartphones, tablets, laptops and IoT devices in their organization from a single management console.

IBM has improved its MaaS360 with Watson UEM product with two capabilities the company says can be highly useful for IT departments: app intelligence and reporting, and security policy recommendations.

Business Dashboards for Apps is designed to provide administrators information on mobile applications and how they are used by employees. This can help them get a better understanding of which apps require attention and investment and which ones can be removed.

IT teams can obtain information on the number of installs (by platform, manufacturer and ownership), usage (popularity and session length), performance (crashes and data usage), and trend information (crashes, network requests and data consumption over a period of six months). Admins can also apply filters to make analysis easier and more useful.

The second new feature, the Policy Recommendation Engine, helps IT teams by dynamically providing recommendations when configuring security policies. Recommendations are provided based on the organization’s profile and common practices observed at similar companies in the MaaS360 community.

“Imagine a way to configure your policies with guidance that is dynamically presented every step of the way, catered to your organization and the size of your deployment. Whether you’re new to the game — or have been managing policies for years — a little confidence in your configurations goes a long way,” IBM Security’s John Harrington Jr. said in a blog post.

IBM also announced this week the launch of Guardium Analyzer, a new tool that uses a specialized data classification engine and data patterns to identify and classify GDPR-relevant information across cloud and on-premise systems. The tool can also identify the databases most likely to fail a GDPR-focused audit, the company said.

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Original author: Eduard Kovacs