

Find out in this report how the two DevSecOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Aikido Security caught a critical remote code execution vulnerability in my Python machine learning pipelines before it reached production.
Since we got rid of that, our productivity has increased, I believe, by thirty-two percent.
We were expecting to complete the compliance in a month, but I figured out Aikido Security could do it within a week for all our 13 repositories.
Digital.ai Release has reduced the error rate up to 80%.
The best part is standardizing things, which in the long term will help me reduce costs and improve efficiency.
This means four to five hours saved for one QA on each release, and with multiple QAs doing multiple releases across our three or four different brands, we are saving days within a week.
Aikido Security was the easiest to use, the easiest to onboard, and the one with the most active customer support.
Their team proactively reached out after signup to ensure we were set up correctly.
Customer support is good; if you raise a query, hardly within a day, your issues get resolved.
Regarding tech support from Digital.ai Release, I would rate them high because as a big multinational company working with people's money, it is crucial to have support, high availability, data integrity, and security, which this product ticks all the boxes.
Our finance team and our infrastructure team reached out to their team members, and they responded within a few hours.
We have a release team to help us with Digital.ai Release.
That kind of reliability becomes invisible when it works well, which is exactly what you want from a security tool running in your CI/CD pipelines.
Aikido Security scales well by supporting multiple projects, repositories, and development teams on a single platform.
You can deploy it on your team, and if you have a large team, it works very well.
Digital.ai Release's scalability is very good, as we can add any number of users and expand it organization-wide or to a handful of teams.
Digital.ai Release's scalability seems to be adequate.
The platform has been reliable and provides accurate security findings.
My overall impression of the stability of Digital.ai Release is that it is good, although my problem lies with where we deploy to, which is currently not stable at the moment.
Digital.ai Release is very stable from my perspective.
I would love to see a Terraform module for Aikido Security.
I had a certain object with a UUID that was being considered as a private secret key or API key, which was not the case.
Aikido Security tells you what is vulnerable, but sometimes the fix suggestions are generic.
If we had an API that could be used on the user side, similar to the one in JIRA where we can create a personal token without granting full access to Digital.ai Release, I could have my script automate the process instead of fulfilling the template field by field, which would be excellent.
New users may take time to understand release pipelines and templates, so more guided onboarding tutorials and documentation would help them adapt easily.
I would appreciate standardized training material that would give me hands-on experience.
I used the free trial, which was sufficient for evaluating the platform and its core features.
Digital.ai Release is affordable in terms of pricing and setup cost.
The pricing, setup cost, and licensing for Digital.ai Release are a little expensive when I look at it, especially the enterprise-level licenses.
We were able to get all codebase vulnerability fixes within a week for all our 13 or 14 repositories that we had.
Security shifted left, meaning issues were caught during development rather than after deployment.
My favorite feature is the dependency vulnerability scanning because it quickly identifies the risk in third-party packages, which saves me time in finding vulnerabilities.
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.
Digital.ai Release standardizes the release process across teams.
Involving both infrastructure and application teams in the same pipeline has genuinely helped my process, as we have one specific person starting the pipeline, another approving it, and another coordinating as DevOps or monitoring all processes from the infrastructure side, providing excellent assistance because we have different and clearly separated responsibilities.
| Product | Mindshare (%) |
|---|---|
| Digital.ai Release | 4.8% |
| Aikido Security | 4.6% |
| Other | 90.6% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
Aikido Security is the no-nonsense platform that empowers developers by centralizing code-to-cloud security issues and providing rapid guidance for fixing vulnerabilities.
With over 6,000 teams utilizing its features, Aikido Security prioritizes effective security management by consolidating 11 comprehensive scans into one platform. This approach translates complex vulnerabilities into understandable insights, targeting non-enterprise SaaS businesses with engineering teams of 10-500 developers. It focuses on delivering security management without excessive costs or complexity through a product-led growth model.
What are the standout features of Aikido Security?In industries like software development and cloud services, Aikido Security is implemented to provide clear insights, enabling teams to focus on rapid product growth while maintaining robust security. Its product-led growth strategy, including a freemium offering, allows developers to experience benefits firsthand without initial investment.
Digital.ai Release enhances deployment pipelines, integrating with tools like GitHub and Jenkins. It enables coordination across development, testing, and production while reducing manual efforts, making it ideal for large projects.
Digital.ai Release is designed to automate and orchestrate application deployments, offering features like email approvals, deployment notifications, and system communication with XLD. It supports integration with tools such as Bamboo, Jira, and MS Teams to create standardized deployment processes. While needing a simpler interface for newcomers, it provides efficient handling of environment-specific configurations and process oversight with metrics and data retention. Challenges include the high cost and complexity, with demands for improved mainframe migration support, automated deployment instructions, differentiated pricing by roles, enhanced cloud capabilities, and additional plugins.
What are the key features of Digital.ai Release?Digital.ai Release has found robust implementation in industries managing large-scale deployments, such as software development and IT services. It assists in orchestrating SQL database upgrades, server deployments, and user orchestration while enhancing release documentation and cross-team communication. This makes it valuable for teams requiring integration and logging through tools like Jira in complex projects like artifact installation and continuous delivery environments.
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