Digital.ai Release vs GitGuardian Platform comparison

Digital.ai and GitGuardian are both solutions in the DevSecOps category. Digital.ai is ranked #9 with an average rating of 8.0, while GitGuardian is ranked #3 with an average rating of 8.8. Digital.ai holds a 1.5% mindshare in DSO, compared to GitGuardian’s 4.3% mindshare. Additionally, 100% of Digital.ai users are willing to recommend the solution, compared to 100% of GitGuardian users who would recommend it.

Digital.ai Release

Read 5 Digital.ai Release reviews

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100 Comparison Views

100% willing to recommend

GitGuardian Platform

Read 32 GitGuardian Platform reviews

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561 Comparison Views

100% willing to recommend

Digital.ai Release

GitGuardian Platform

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Executive SummaryUpdated on Jul 28, 2025

Digital.ai Release and GitGuardian Platform each target different aspects of software release management and security, offering complementary benefits. GitGuardian Platform holds an advantage in security with superior customer satisfaction, while Digital.ai Release excels in release orchestration, being well-received for its focused approach.

Features: Digital.ai Release includes intricate workflow automation, pipeline visibility, and integration with tools like Jira and Bamboo for seamless deployment processes. GitGuardian Platform focuses on security with advanced secret scanning, automated validity checks, and a broad range of technology integrations to detect vulnerabilities and manage risks effectively.

Room for Improvement: Digital.ai Release could enhance its user interface and improve deployment speed across complex environments. Users also suggest better documentation and more seamless upgrades. GitGuardian Platform could improve the false-positive rate and provide more precise configuration options. Enhancement in handling historical data and better integration with existing CI/CD pipelines are other areas for improvement.

Ease of Deployment and Customer Service: Digital.ai Release offers a versatile deployment model adaptable to various environments, praised for its user-friendly structure. GitGuardian Platform provides simplicity in setup and effective customer service, ensuring rapid issue resolution. Digital.ai’s broader adaptability contrasts with GitGuardian’s streamlined approach.

Pricing and ROI: Digital.ai Release usually has higher initial setup costs, justified by its extensive features and potential long-term savings. GitGuardian Platform offers competitive pricing focused on security investments, achieving notable ROI through risk mitigation. While Digital.ai’s pricing might be higher, its comprehensive feature set could lead to operational savings, whereas GitGuardian suggests immediate ROI with security enhancements.

To learn more, read our detailed Digital.ai Release vs. GitGuardian Platform Report (Updated: September 2025).

Buyer's Guide

Digital.ai Release vs. GitGuardian Platform

September 2025

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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

Digital.ai Release

Ranking in DevSecOps

9th

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Build Automation (14th), Release Automation (8th)

GitGuardian Platform

Ranking in DevSecOps

3rd

Average Rating

8.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Application Security Tools (9th), Static Application Security Testing (SAST) (4th), Data Loss Prevention (DLP) (6th), Threat Intelligence Platforms (TIP) (5th), Software Supply Chain Security (6th), Non-Human Identity Management (NHIM) (3rd)

Mindshare comparison

As of October 2025, in the DevSecOps category, the mindshare of Digital.ai Release is 1.5%, up from 0.7% compared to the previous year. The mindshare of GitGuardian Platform is 4.3%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

DevSecOps Market Share Distribution
Product	Market Share (%)
GitGuardian Platform	4.3%
Digital.ai Release	1.5%
Other	94.2%

DevSecOps

Featured Reviews

Jeanne-Mari Chandran

Software Configuration Specialist at a insurance company with 10,001+ employees

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.

Read full review

Ney Roman

DevOps Engineer at Deuna App

Facilitates efficient secret management and improves development processes

Regarding the exceptions in GitGuardian Platform, we know that within the platform we have a way to accept a path or a directory from a repository, but it is not that visible at the very beginning. You have to figure out where to search for it, and once you have it, it is really good, but it is not that visible at the beginning. This should be made more exposed. The documentation could be better because it was not that comprehensively documented. When we started working with GitGuardian Platform, it was difficult to find some specific use cases, and we were not aware of that. It might have improved now, but at that time, it was not something we would recommend.

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

"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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."

"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 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."

"Presently, we find the pre-commit hooks more useful."

"GitGuardian has also helped us develop a security-minded culture. We're serious about shift left and getting better about code security. I think a lot of people are getting more mindful about what a secret is."

"You can also assign tasks to specific teams or people to complete, such as assigning something to the "blue team" or saying that this person needs to do this, and that person needs to do that. That is a great feature because you can actually manage your team internally in GitGuardian."

"We have definitely seen a return on investment when it finds things that are real. We have caught a couple things before they made it to production, and had they made it to production, that would have been dangerous."

"The newest addition that we appreciate about GitGuardian Platform is the ability to create a custom detector, which we built and worked with the team, and that works very effectively."

"One thing I really like about it is the fact that we can add search words or specific payloads inside the tool, and GitGuardian will look into GitHub and alert us if any of these words is found in a repository... With this capability in the tool, we have good surveillance over our potential blind spots."

"Some of our teams have hundreds of repositories, so filtering by team saves a lot of time and effort."

"GitGuardian has many features that fit our use cases. We have our internal policies on secret exposure, and our code is hosted on GitLab, so we need to prevent secrets from reaching GitLab because our customers worry that GitLab is exposed. One of the great features is the pre-receive hook. It prevents commits from being pushed to the repository by activating the hook on the remotes, which stops the developers from pushing to the remote. The secrets don't reach GitLab, and it isn't exposed."

More GitGuardian Platform pros

Cons

"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."

"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."

"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."

"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."

"One improvement that I'd like to see is a cleaner for Splunk logs. It would be nice to have a middle man for anything we send or receive from Splunk forwarders. I'd love to see it get cleaned by GitGuardian or caught to make sure we don't have any secrets getting committed to Splunk logs."

"For some repositories, there are a lot of incidents. For example, one repository says 255 occurrences, so I assume these are 255 alerts and nobody is doing anything about them. These could be false positives. However, I cannot assess it correctly, because I haven't been closing these false positives myself. From the dashboard, I can see that for some of the repositories, there have been a lot of closing of these occurrences, so I would assume there are a lot of false positives. A ballpark estimate would be 60% being false positives. One of the arguments from the developers against this tool is the number of false positives."

"I would like to see improvement in some of the user interface features... When one secret is leaked in multiple files or multiple repositories, it will appear on the dashboard. But when you click on that secret, all the occurrences will appear on the page. It would be better to have one secret per occurrence, directly, so that we don't have to click to get to the list of all the occurrences."

"GitGuardian's hook and dashboard scanners are the two entities. They should work together as one. We've seen several discrepancies where the hook is not being flagged on the dashboard. I still think they need to do some fine-tuning around that. We don't want to waste time."

"We have been somewhat confused by the dashboard at times."

"GitGuardian could have more detailed information on what software engineers can do. It only provides some highly generic feedback when a secret is detected. They should have outside documentation. We send this to our software engineers, who are still doing the commits. It's the wrong way to work, but they are accustomed to doing it this way. When they go into that ticket, they see a few instructions that might be confusing. If I see a leaked secret committed two years ago, it's not enough to undo that commit. I need to go in there, change all my code to utilize GitHub secrets, and go on AWS to validate my key."

"I would like to see more fine-grained access controls when tickets are assigned for incidents. I would like the ability to provide more controls to the team leads or the product managers so that they can drive what we, the AppSec team, are doing."

"There are some features that are lacking in GitGuardian. The more we grow and the more engineers we have, the more it will become difficult to assign an incident because the assignment is not automatic. I know they are working on that and we are waiting for it."

More GitGuardian Platform cons

Pricing and Cost Advice

"Overall, the price is just too high; especially considering we're in the middle of a pandemic."

"The solution's license includes all features."

"The pricing is reasonable. GitGuardian is one of the most recent security tools we've adopted. When it came time to renew it, there was no doubt about it. It is licensed per developer, so it scales nicely with the number of repos that we have. We can create new repositories and break up work. It isn't scaling based on the amount of data it's consuming."

"It's a bit expensive, but it works well. You get what you pay for."

"I am only aware of the base price. I do not know what happened with our purchasing team in discussions with GitGuardian. I was not privy to the overall contract, but in terms of the base MSRP price, I found it reasonable."

"I compared the solution to a couple of other solutions, and I think it is very competitively priced."

"It could be cheaper. When GitHub secrets monitoring solution goes to general access and general availability, GitGuardian might be in a little bit of trouble from the competition, and maybe then they might lower their prices. The GitGuardian solution is great. I'm just concerned that they're not GitHub."

"It's competitively priced compared to others. Overall, the secret detection sector is expensive, but we are very happy with the value we get."

"We have seen a return on investment. The amount of time that we would have spent manually doing this definitely outpaces the cost of GitGuardian. It is saving us about $35,000 a year, so I would say the ROI is about $20,000 a year."

"The internal side is cheap per user. It is annual pricing based on the number of users."

More GitGuardian Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

38%

Computer Software Company

16%

Healthcare Company

Insurance Company

Government

19%

Computer Software Company

18%

Financial Services Firm

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	9
Large Enterprise	13

Questions from the Community

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.

See all answers

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 ...

See all answers

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 ...

See all answers

What do you like most about GitGuardian Internal Monitoring ?

It's also worth mentioning that GitGuardian is unique because they have a free tier that we've been using for the first twelve months. It provides full functionality for smaller teams. We're a smal...

See all answers

What is your experience regarding pricing and costs for GitGuardian Internal Monitoring ?

It's competitively priced compared to others. Overall, the secret detection sector is expensive, but we are happy with the value we get.

See all answers

What needs improvement with GitGuardian Internal Monitoring ?

GitGuardian Platform does what it is designed to do, but it still generates many false positives. We utilize the automated playbooks from GitGuardian Platform, and we are enhancing them. We will pr...

See all answers

Comparisons

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Compared 23% of the time

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Compared 22% of the time

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Compared 18% of the time

CloudBees vs Digital.ai Release

Compared 18% of the time

GitHub Actions vs Digital.ai Release

Compared 18% of the time

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Compared 18% of the time

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Compared 17% of the time

SafeGuard Cyber Security vs GitGuardian Platform

Compared 15% of the time

Microsoft Purview Data Loss Prevention vs GitGuardian Platform

Compared 13% of the time

GitHub Advanced Security vs GitGuardian Platform

Compared 12% of the time

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Product Reports

Buyer's Guide

Digital.ai Release

October 2025

Download Digital.ai Release product report

Buyer's Guide

GitGuardian Platform

September 2025

Download GitGuardian Platform product report

Also Known As

XL Release, XebiaLabs XL Release

GitGuardian Internal Monitoring, GitGuardian Public Monitoring

Overview

Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.

Digital.ai

GitGuardian is an advanced secrets security platform that strengthens Non-Human Identity security and ensures compliance with industry standards by detecting and managing secrets in development environments.

GitGuardian integrates Secrets Security and Secrets Observability, facilitating the detection of compromised secrets and managing legitimate secrets' lifecycle. Supporting over 450 types of secrets, the platform offers public monitoring for leaked data and employs honeytokens as an added defense. Trusted by over 600,000 developers, organizations such as Snowflake and ING rely on GitGuardian for robust secrets protection.

What features define GitGuardian?

Internal Monitoring: Tracks confidential data like IDs and tokens.
Dev in the Loop: Rapid alerts for leaks.
Detection Capabilities: High accuracy with a low false-positive rate.
Integrations: Supports seamless integration with multiple platforms.
Customized Detectors: Offers tailored security solutions.
Multi-Vault Support: Facilitates efficient issue management.

What are the key benefits when evaluating GitGuardian?

Comprehensive Detection: Identifies AWS keys and other hardcoded secrets.
Efficient Remediation: Swiftly resolves issues.
Improved Security: Prevents accidental leaks of sensitive data.
Seamless Integration: Compatible with platforms like GitHub and Azure DevOps.

In sectors like healthcare and telecommunications, GitGuardian is implemented for detecting and managing the exposure of sensitive information in code repositories. Teams benefit from its ability to integrate with platforms such as GitHub, allowing for immediate alerts and efficient remediation of security risks, enhancing application security by safeguarding operational environments.

GitGuardian

Sample Customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank

Widely adopted by developer communities, GitGuardian is used by over 600 thousand developers and leading companies, including Snowflake, Orange, Iress, Mirantis, Maven Wave, ING, BASF, and Bouygues Telecom.

Buyer's Guide

Digital.ai Release vs. GitGuardian Platform

September 2025

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