4 Things to Look for in Multi-Cloud Data Protection 

In today’s fast-paced business environment, organizations need to leverage the latest cloud technologies to stay ahead of the competition. That’s why many businesses are turning to multi-cloud environments, where they can access the best solutions and pricing from a range of vendors.

However, using multiple clouds can create a fragmented infrastructure that’s difficult to scale and secure, leading to increased complexity, costs, and risks to business-critical data.

So, here are four qualities that you should look for in a multi-cloud data-protection solution.

  1. Unifies Auto-Discovery and Protection of Sensitive Data

Your multi-cloud data-protection solution should offer comprehensive security and compliance tools that span first- and third-party apps and services. It should include features such as built-in sensitivity labeling, popup user notifications, and automatic encryption of emails and attachments, to ensure that all sensitive data is correctly classified and labeled. This tool should also scan and classify on-premises file shares, as well as cloud applications and services.

2. Protects Sensitive Files and Documents from Being Exfiltrated to Third-Party Apps

More than 40% of corporate data is “dark,” meaning it’s not classified, protected, or governed. To prevent data leakage across third-party apps, your multi-cloud security solution should be able to classify files and documents, apply sensitivity labels, and provide sharing controls and file governance. It should also use near real-time data loss prevention policies.

3. Uses Automated Data Discovery Across Structured and Unstructured Data

Your data-protection solution should provide data scanning and classification for all types of assets across multi-cloud and on-premises environments. Metadata and descriptions of data assets should be integrated into a holistic map of your data estate. This will help create environments for data discovery, access management, and insights about your data landscape.

4. Applies Zero Trust Principles to Your Entire Digital Estate

Your data-protection solution should apply strong multifactor authentication, ensure all endpoints are in compliance, and implement continuous risk assessment and forensics capabilities. It should also classify, label, and encrypt emails and documents, and offer adaptive access to SaaS applications and on-premises applications.

By implementing a solution that meets the requirements listed above, organizations can protect their sensitive data, reduce risks, and gain greater insights into their data landscape.


Source: PR Agency

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