Here are a few key takeaways
1. The Enterprise Data Challenge
Organizations are facing massive data security and privacy risks as data proliferates across multi-cloud and hybrid IT architectures. Identifying meaningful data risk requires understanding data sensitivity, lineage and infrastructure / access configurations that provide a consolidated view into data risks across the entire environment. This is an urgent problem that requires to be immediately addressed
2. What enterprises need
Organizations need visibility of into the sensitive data across datasets, location as well as consolidated view into the risk associated with inconsistent access privileges, permissions, activity , location and centralized remediation to protect their data from loss
3. The name of the game is reducing data risk with a pressing need to accomplish the following
4. Discovery and risk monitoring needs to be tied to remediation
It is critical to be able to be able to remediate issues identified, either natively or through integration with 3rd party products. Effective solutions need a wide range of remediation options – from centralized actions to co-opting end users to integrating into SOC workflows
5. Take the product for a test drive
Assess how quickly any product can be implemented to establish an assessment of an inventory of critical data as well as risk exposure and ability to continually update those assessments and protect your data. Speed, accuracy and scale need to be evaluated with an organization’s data to get a real-world view into a solution’s capabilities
Gartner, Hype Cycle for Data Security, 2022, Published 4 August 2022
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