BigID vs. Zscaler Data Security

Add context to data to get a bigger picture and make decisions regarding compliance, privacy, coverage, security, and governance.

Incentivized

For a large company with lots of data it is a fantastic solution and much needed. This is probably not suited for very small organizations as it might be overkill. Organizations with lots of sensitive data such as PII, federal agencies or health care will greatly benefit from this product.

Incentivized

• Coverage for all types of data
• Ease of use
• Good support

Incentivized

• If the policy is set correctly, it identifies DLP (Data Loss Prevention).
• Scanning zip files to find executables works really well.

Incentivized

• Mobile application isn't that user friendly
• Doesn't work with some legacy systems
• Blips and or latency in every day use.

Incentivized

• 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.
• Regex does not support lookaheads.

Incentivized

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).

Incentivized

Affordable, scalable, seamlessly integrates with other applications, easy to configure and use. Great customer and product support. Affordable extended product support.

Incentivized

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

Incentivized

• Manage Enterprise data bolume
• Manage data sources
• Low impact on our system

Incentivized

• Positive - Product reliability and effectivity.
• Positive - Deployment and securing the environment.
• Negative - Pricing are on higher side among the peers.
• Negative - Customer Support has to be improve with skill engineers.

Incentivized