Zscaler Data Security is a cloud-delivered platform built to safeguard an organization's sensitive data. It locates sensitive data, understands its risk exposure, and secures sensitive data across the web, email, workloads, private apps, and BYOD endpoints.
Thought about deploying zero trust cloud within our environment, but we are still in the early stages of our digital transformation projects. Still evaluating current options, but we knew Zscaler Data Security took a strict approach to data, so that's what we wanted to evaluate.
Zscaler Data protection must be used in conjunction with other Zscaler tools where the others are stand alone. It is mainly the cost that drove us to look at Zscaler's product again, although, we do still use Proof point for DLP and email security
Great for network DLP, web, and endpoint monitoring. DSPM data discovery works well for key structured and unstructured data sources. An area for improvement is simplifying the interface into a single pane for reviewing incidents and making it part of the tooling, rather than a separate module with a fee (incident receiver).
The DLP dictionary functions need to be expanded upon, such as matching all regex patterns with any phrases and vice versa. The only way to do this today is to create two dictionaries and then use an engine to combine them; however, this approach loses the ability to utilize proximity.
Zscaler Data Protection is a complete solution for protecting your valuable data. No matter whether the data resides at your on-prem, cloud, or any workload or at the data center, Zscaler has a foolproof mechanism to protect it at any cost with zero tolerance. Also, Zscaler Data Protection has a perfect UI for deploying, managing, and maintaining our different kinds of environments. (e.g., On-Prem or Hybrid).
Thought about deploying zero trust cloud within our environment, but we are still in the early stages of our digital transformation projects. Still evaluating current options, but we knew Zscaler Data Security took a strict approach to data, so that's what we wanted to evaluate.
