DataMasque vs Securiti comparison

Read 10 Securiti reviews

4,322 Views
2,420 Comparison Views

100% willing to recommend

DataMasque

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between DataMasque and Securiti based on real PeerSpot user reviews.

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed DataMasque vs. Securiti Report (Updated: August 2026).

Download the complete report

DataMasque vs. Securiti

August 2026

Helped 909,725 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

DataMasque

Ranking in Data Governance

30th

Average Rating

9.6

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

Data Masking (9th)

Securiti

Ranking in Data Governance

15th

Average Rating

8.2

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (17th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (12th), Data Detection & Response (DDR) (1st), Data Security Platforms (DSP) (2nd)

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of DataMasque is 0.4%. The mindshare of Securiti is 2.0%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Securiti	2.0%
DataMasque	0.4%
Other	97.6%

Data Governance

Featured Reviews

Nierojan Pushparajan

Director of Software Engineering at TelliHealth

Masking sensitive test data has improved compliance and now enables safe, realistic debugging

The best features DataMasque offers that stand out to me are the flexibility to create rule sets and mask UUIDs, which have been really beneficial. Additionally, their customer service and technical support have been very helpful in getting this set up. The flexibility in creating rule sets has helped my team specifically because we have lots of dependencies on different databases and different database types. We have an RDS instance and an OpenSearch instance. Having those rule sets really allowed us to connect data between the two because the same data can be across multiple datasets. Creating these rules enabled us to not think too much about which ones need to be unique or which ones need to be the same across different tables. Whenever we run into issues or questions, we are able to talk to the DataMasque team, and they give us a reasonable technical response within a good timeframe that allows us to solve our issues pretty quickly. We have not had huge delays or blockers because of the communication between us and DataMasque. I appreciate the consistency to continue to improve the application, and there are new features coming out this year that will be tools we use. DataMasque is doing a great job of adding new features, and we will definitely be using them in the future. DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent. It will allow our developers to troubleshoot issues easily without the risk of viewing PHI or anything similar. We are seeing the benefits already of that, but we still need to complete the full integration and incorporate it into our workflows to see the full benefits, which we are currently in the process of. So far, it has been really good. By just masking production data, we can go into this masked database set to understand edge cases and issues as they come up from support without the developers having to look at any production data. They can go into this masked dataset and see the problem firsthand, something we would not have caught with our dev dataset because it is such a smaller amount of data, whereas production has a vast amount of data that we can look through.

Read full review

reviewer2765175

Chief Manager (Information Technology) at a financial services firm with 10,001+ employees

Have built a zero trust foundation that protects customer data and reduces business risk

To improve Securiti, I would say that ultimately the IT team as well as the business team, there has to be an amalgamation of their thought process, convergence of their thoughts, objectives, aspirations for achieving the business objective of a particular organization. The way forward is to form the fusion team wherein there is a judicious mix of business and IT and both the teams understand each other's limitations and the aspirations and the common objectives. As far as needed improvements in Securiti, I would say that automation is key. If you look at the kind of huge amount of data which SOC integrated devices are generating in terms of alerts, automation or the appropriate use of AI is the way forward. That will lead to the overall improvement in the efficiency as well as the threat intelligence will be much more accurate. To my mind, automation with the augmented use of GenAI or the agentic AI solution is the way forward. I choose eight for Securiti because for it to be a nine or 10, ultimately the uptime has to be improved, it should be nearing 100%. Apart from that, there has to be more unified communication happening between various customer facing applications. These siloed applications having their own kind of security solutions implemented also have to be brought on a uniform platform. Until that happens, there is always a gap which has to be filled. The processes within the SOC, whether it is SIEM, NBAD, or your DAM, alert analysis, logs analysis, these have to be predictive analysis, and the thwarting of the cyber attacks still requires more effort.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Being able to generate the masking rules directly from the tool based on what it finds during the data discovery helps ensure that all sensitive fields are identified and masked."

"DataMasque has positively impacted our organization by absolutely allowing us to more rigorously test our products within a safe environment without leaking personally identifiable information."

"DataMasque has positively impacted our organization by already showing visible benefits in security and reduced risks for compliance, even though we are still in the process of setting up production and using it to the full extent."

"We can now have a staging environment very much like a production environment, which improves our testing and product quality."

"The drag-and-drop features make Securiti easy to use, even for individuals who are not tech-savvy."

"Overall, I would rate Securiti a nine out of ten."

"The automated way of identifying and classifying personal information is very beneficial."

"It's very scalable. I would rate it ten out of ten for scalability."

"With that kind of high availability and the continuous threat exposure management, CTEM, we are quite sure and we have proved our worth to the business in implementing the cyber security solutions."

"The best features Securiti offers include that the data discovery was really good, it was easy to set up, and the view was a differential compared with other solutions, so we could see in a map where our data were located and investigate better who was using that data, who was responsible for that data and secure who had access to it."

"I would recommend Securiti to others with challenges like obtaining human resources for timely classification."

"The initial setup is easy."

More Securiti pros

Cons

"UUID generation could be improved."

"I think it would be great if the user experience was upgraded because it can be quite technical at times."

"Technical support can be hit or miss. Some technical staff are great, but others are not very effective. On average, I would rate the technical support four out of ten."

"While the software is functionally robust and intuitive, there is a challenging learning curve."

"Fraud prevention could be improved. If a criminal accesses my system and obtains my information, they might commit fraud."

"The scalability of Securiti is not high because we have to customize the solution. It is very complicated to scale, so it needs improvement."

"I could see that in an environment where we had a lot of information, sometimes it was a little slow with Securiti, so I believe they could improve by making the solution faster in big environments."

"I choose eight for Securiti because for it to be a nine or 10, ultimately the uptime has to be improved, it should be nearing 100%."

"Technical support needs enhancement. It would be helpful to have better documentation and more accessible support, especially when raising support tickets."

"I would like their workflows and assessment automation to be more advanced compared to their competitors, especially under the pro core privacy module."

More Securiti cons

See which vendors are best for you

Use our free recommendation engine to learn which Data Governance solutions are best for your needs.

See recommendations

909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Energy/Utilities Company

26%

Construction Company

21%

Comms Service Provider

11%

Outsourcing Company

Financial Services Firm

16%

Manufacturing Company

12%

Construction Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for DataMasque?

As we are still in the early stages, I can't say anything definitive about pricing yet, but I believe it will be usage-based, which should work well.

What needs improvement with DataMasque?

UUID generation could be improved. Although UUIDs were masked correctly, some validation rules were not supported, requiring a switch from validators to pattern matching. Expanding native UUID vali...

What is your primary use case for DataMasque?

I created a staging environment with production-like data.

What is your experience regarding pricing and costs for Securiti?

Regarding my experience with pricing, setup cost, or licensing, I did not have much experience because I was more a technical user, but I believe it was not really expensive.

What needs improvement with Securiti?

I could see that in an environment where we had a lot of information, sometimes it was a little slow with Securiti, so I believe they could improve by making the solution faster in big environments...

What is your primary use case for Securiti?

My main use case for Securiti is that we implemented it to improve our data privacy and compliance operations across multiple business units. A specific example of how I used Securiti for privacy o...

Varonis Platform vs Securiti

Comparisons

No data available

BigID Next vs Securiti

Compared 16% of the time

Compared 10% of the time

OneTrust Privacy vs Securiti

Compared 9% of the time

OneTrust DataGovernance vs Securiti

Compared 6% of the time

Cyera vs Securiti

Compared 5% of the time

More Securiti Competitors

Product Reports

Download DataMasque product report

Data Masking

August 2026

Download Securiti product report

July 2026

Overview

DataMasque offers robust data masking, maintaining referential integrity while ensuring security and compliance. Its features support realistic dataset testing without exposing sensitive data, integrating seamlessly across databases.

DataMasque is designed to protect PII and PHI by masking sensitive information across interconnected databases and cloud platforms. This ensures applications, reporting, and integrations are not impacted by structural inconsistencies. Its adaptable rule set and auto-generation of masking rules aid in swift deployment, enhancing data security frameworks and accelerating release cycles. DataMasque also provides strong technical support and continues to enhance its capabilities with ongoing improvements. Users find value in its existing functionality while looking forward to further usability enhancements, including expanded capabilities for unstructured data and improved post-masking validation.

What Are DataMasque's Main Features?

Identical Data Masking: Ensures masked data retains the appearance and formatting of original data, enhancing usability.
Referential Integrity Preservation: Maintains data relationships across systems, crucial for accurate testing and reporting.
Automation: Facilitates seamless integration and efficient masking operations without manual intervention.
Scalability: Supports growth and handles large datasets across distributed environments.
Compliance and Security Alignment: Helps meet regulatory requirements like GDPR while maintaining robust security.
Speed and Accuracy: Guarantees rapid data processing with precise masking rule application.
Rule Set Flexibility: Offers custom rules to adapt to specific data structures and needs.
Auto-Generation of Masking Rules: Automatically creates rules, speeding up deployment and reducing configuration errors.

What Benefits and ROI Should Users Consider?

Data Security Enhancement: Significantly reduces the risk of data breaches by masking PII and PHI.
Improved Compliance: Aligns with regulatory standards, helping avoid legal and financial penalties.
Faster Release Cycles: Reduces time to market by enabling secure, realistic testing environments.
Risk Reduction: Minimizes hazards associated with data exposure in non-production environments.
Integration Ease: Smoothly integrates across databases, maintaining consistency and accuracy.

DataMasque is implemented across technology, healthcare, finance, and retail industries to safeguard sensitive data without disrupting operations. It assures that development, testing, and analytics use environments that mirror live systems closely, which is critical for sectors handling large volumes of personal data.

DataMasque

Securiti provides advanced solutions for automating data privacy tasks with ease, supporting organizations in achieving compliance with global regulations while enhancing operational resilience and data protection.

Securiti enhances data privacy management through its powerful automation tools. Its drag-and-drop functionality simplifies tasks, enabling efficient personal information classification and sensitive data intelligence. With features like consent management, zero trust architecture, and data lineage visualization, Securiti supports compliance with international regulations, improving data protection and ensuring business continuity. While it needs refinement in areas like technical support and data classification accuracy, its robust AI data governance package remains a major asset for businesses.

What are Securiti's Key Features?

Drag-and-Drop Functionality: Simplifies automation of privacy tasks.
Automated Classification: Enhances personal data management.
Consent Management: Facilitates GDPR compliance.
Zero Trust Architecture: Strengthens data security.
Data Lineage Visualization: Offers insights into data flows.
AI Data Governance: Comprehensive tools for data governance.

What Benefits Can Users Expect?

Regulatory Compliance: Streamlines adherence to global privacy laws.
Operational Resilience: Automates tasks for consistent performance.
Data Protection: Employs advanced techniques for safeguarding information.
Business Continuity: Ensures uninterrupted operations through intelligent data handling.

In banking, Securiti aids in customer-facing applications for data protection, integrating with systems like Salesforce to manage consent. It ensures compliance with GDPR and the Australian Privacy Act, supporting industries in maintaining privacy standards. Securiti's learning packages also enhance skills in data governance and AI, proving valuable across sectors.