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Check Point CloudGuard Code Security vs Digital.ai Release comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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

Check Point CloudGuard Code...
Ranking in DevSecOps
7th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
13
Ranking in other categories
Data Loss Prevention (DLP) (12th)
Digital.ai Release
Ranking in DevSecOps
9th
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Build Automation (15th), Release Automation (10th)
 

Mindshare comparison

As of June 2025, in the DevSecOps category, the mindshare of Check Point CloudGuard Code Security is 1.6%, up from 1.2% compared to the previous year. The mindshare of Digital.ai Release is 1.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
DevSecOps
 

Featured Reviews

Mamadou Fallou Diagne - PeerSpot reviewer
Management team gains substantial protection while navigating ongoing configuration challenges
The most valuable features of Check Point CloudGuard Code Security include our approach to manage it via the management we have on-premises, and we also deploy the same extension management of CloudGuard to manage all the virtual systems on Azure. We effectively use artificial intelligence with Check Point CloudGuard Code Security, as we have teams that work with AI and we frequently manage our firewalls using AI along with the CloudGuard and all virtual systems.
Jeanne-Mari Chandran - PeerSpot reviewer
Experience seamless project management and integration with robust tools
The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required. I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software. Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.

Quotes from Members

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

Pros

"We have a strong sense of security assurance when utilizing CloudGuard, as it consistently delivers outstanding protection capabilities."
"Check Point CloudGuard Code Security helps to improve the code security of our company, generating rapid and complete assessments to be able to make decisions for improvements."
"The data center security system has provided real-time analytics on performance and data configuration processes."
"The implementation of this tool for security management and control is very simple."
"I can recommend Check Point CloudGuard Code Security to other organizations as it is a good platform to protect our organization."
"Compared to what we used before, it's helping us to be more efficient in managing our traffic."
"We have had a number of real events where developers accidentally made commits of API keys, and we were able to detect and begin response actions in minutes. We had the API key revoked in less than five minutes in such events."
"It helped us to reduce vulnerabilities."
"Overall, I would give Digital.ai Release a rating of nine out of ten; there's always room for improvement, but it's really good."
"The solution can apply one template across multiple applications."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
 

Cons

"We need to have many of the baselines or development guides providing less complex writing or development."
"I would like this solution to be extended to cellular devices or tablets."
"There are a lot of opportunities for how they can use their technology to do more. That would be more like sensitive data discovery and other things besides Git Repos, but then you are expanding the scope of what necessarily their product is."
"The solution should improve false-positives."
"The enhancements are needed in the logging system and log management processes."
"There needs to be better security around API integration."
"I am satisfied with the performance and results enhanced by this product since we deployed it."
"They could include web functionalities such as sandboxing."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"The solution is a little bit expensive."
"I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what Digital.ai's cloud capabilities are."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
 

Pricing and Cost Advice

"It is extremely affordable and high value for cost."
"Overall, the price is just too high; especially considering we're in the middle of a pandemic."
"The solution's license includes all features."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
11%
Government
10%
Financial Services Firm
29%
Educational Organization
29%
Computer Software Company
14%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Spectral?
We have had a number of real events where developers accidentally made commits of API keys, and we were able to detect and begin response actions in minutes. We had the API key revoked in less than...
What needs improvement with Spectral?
There are still areas for improvement with Check Point CloudGuard Code Security. All the features we have on the firewall on the on-premises side, we also have under CloudGuard such as IPS, Anti-Bo...
What do you like most about Digital.ai Release ?
The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.
What needs improvement with Digital.ai Release ?
Based on my experience, I would like to improve Digital.ai Release by exploring its cloud capabilities as we are currently in the middle of migrating to the cloud, but I actually have no idea what ...
What is your primary use case for Digital.ai Release ?
My use case for Digital.ai Release is that I work for an insurance company on a very big project that develops multiple different pieces of software. We use Digital.ai Release to move our software ...
 

Also Known As

Spectral
XL Release, XebiaLabs XL Release
 

Overview

 

Sample Customers

Doddle, Bangalore International Airport, Grupo financiero ACOBO, DigitalTrack
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
Find out what your peers are saying about Check Point CloudGuard Code Security vs. Digital.ai Release and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.