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Google Cloud Data Loss Prevention vs Securiti comparison

 

Comparison Buyer's Guide

Executive Summary

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

Google Cloud Data Loss Prev...
Ranking in Data Loss Prevention (DLP)
28th
Average Rating
9.0
Reviews Sentiment
5.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Securiti
Ranking in Data Loss Prevention (DLP)
17th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
10
Ranking in other categories
Data Governance (15th), 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 Loss Prevention (DLP) category, the mindshare of Google Cloud Data Loss Prevention is 1.0%, up from 0.9% compared to the previous year. The mindshare of Securiti is 1.4%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Loss Prevention (DLP) Mindshare Distribution
ProductMindshare (%)
Securiti1.4%
Google Cloud Data Loss Prevention1.0%
Other97.6%
Data Loss Prevention (DLP)
 

Featured Reviews

RaviUpadhyay - PeerSpot reviewer
Security Consultant at HCLSoftware
Automated scans have classified sensitive data and protect privacy in complex environments
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss Prevention helps significantly. They have a predefined template, and whatever category comes under sensitive data has been researched with almost 99% accuracy and included in the template. A person needs to attach the template and scan their data. Once initiated, it will take time, such as 24 hours or 48 hours, depending on the data size. Once the template is applied and the system scans it, a tagging report of the sensitive data locations is returned. A report is available, and what previously would have taken a month can now be achieved by Google Cloud Data Loss Prevention services in detecting sensitive PII data within 48 hours maximum, even if the data size is larger. Once the report is available, the person would know where the sensitive data is located. Dealing with sensitive data is the next question. If data is not to be shared, it has to be hidden, masked, or changed. All kinds of things can be applied to dealing with that data. Google Cloud Data Loss Prevention has another feature available called de-identification services, which deals with sensitive data in applications or production environments.
reviewer2765175 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"It is user- friendly and has a easy integration."
"These tasks can be achieved by Google Cloud Data Loss Prevention services in a programmatic way, very quickly and very efficiently."
"Their data discovery is a fantastic product."
"The automated way of identifying and classifying personal information is very beneficial."
"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."
"Technical support for Securiti is good."
"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."
"Overall, I would rate Securiti a nine out of ten."
"It's very scalable. I would rate it ten out of ten for scalability."
"The process mapping is a good tool. We have a nice view of their data."
 

Cons

"Google Cloud Data Loss Prevention has a system, but it is not very mature."
"Improvement are made as per client requirement."
"With the formation and education, specifically the security education, they could update the educational video more often."
"While the software is functionally robust and intuitive, there is a challenging learning curve."
"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."
"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."
"It's not very fast, and it's difficult to get an answer."
"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 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%."
report
Use our free recommendation engine to learn which Data Loss Prevention (DLP) solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
13%
Financial Services Firm
10%
University
10%
Construction Company
9%
Financial Services Firm
16%
Manufacturing Company
12%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

What needs improvement with Google Cloud Data Loss Prevention?
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss...
What advice do you have for others considering Google Cloud Data Loss Prevention?
Further strategies can be defined based on specific use cases. For example, in an R&D company where doctors are dealing with sensitive data and need to share it, if two doctors are sitting in d...
What is your experience regarding pricing and costs for Google Cloud Data Loss Prevention?
Pricing is based on data size. Google offers different pricing models, and they provide good discounts when someone commits to a long-term engagement with their Google services.
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...
 

Overview

Find out what your peers are saying about Google Cloud Data Loss Prevention vs. Securiti and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.