The best application security tool for DevSecOps teams

GitLab's merge request approval policies apply only to protected target branches, and GitLab evaluates them from the report a scanning job leaves once it has finished. GitLab Ultimate is our pick for DevSecOps teams using GitLab CI and protected branches, provided the order confirms scanner and runner prerequisites, enforced merge policies and bypass records, seat and usage charges, deployment and data location, and the exact government service when federal authorization is required. We weigh that documented route from pipeline scan to branch approval first for a team whose pipelines already run in GitLab. The conditions are there because GitLab attaches each scanner and each policy to a named tier or offering.

GitHub Advanced Security suits the team already on GitHub that puts CodeQL, dependency review and secret scanning first and wants GitHub's ruleset checks and bypass requests to hold a pull request. Snyk suits the team that keeps its current repository workflow and wants hosted scanning bought product by product through Snyk's integrations, with a scanning agent for web applications and APIs inside a private network.

What should a DevSecOps team settle before it orders?

NIST's Secure Software Development Framework tells an organization to specify which tool types address its identified risks and to integrate those tools into its toolchain. In Black Duck's 2024 DevSecOps survey, fielded by Censuswide among developers, AppSec professionals, CISOs and DevOps engineers, 37% of respondents cited the sensitivity of the information being handled as a consideration in choosing which security tests to run. Each scan then carries its own prerequisite: GitLab's browser-based DAST needs a deployed target and a Docker-executor runner on Linux/amd64, and Snyk's support matrix varies language coverage by product and by interface. List the scans your risks call for and ask, scan by scan, which plan, runner and interface each one requires.

NIST's current guidance on applying the framework names cost, feasibility, applicability and automation as inputs to choosing practices and the resources given to them. Ask each vendor to price your own headcount and scanning volume on its unit, and to list every usage charge that sits outside it. The meters differ: GitHub counts active committers on repositories with a product enabled, and Snyk's credit policy meters some products by contributor and others by image or scan target.

GitHub's code scanning merge protection blocks a pull request on a required tool's alerts and, by GitHub's own description, does not turn code scanning on. GitLab divides the work the same way, with scan execution policies to run scans and approval policies to hold the merge. NIST's toolchain practice lists audit trails among the records kept as secure-development evidence, so ask each vendor what an exception leaves behind: who bypassed, the stated reason, how long the record is kept and how it is exported.

GitLab's offline guide has a self-managed buyer arrange an exemption from cloud licensing before purchase and then update scanner rules and advisory databases by hand. Running disconnected is therefore a maintenance duty your team takes on, so settle before signing who updates the scanners and where the code and its audit data will sit. GitLab Dedicated sets its region choices when the instance is created, and Snyk's residency documentation has the region chosen during onboarding.

FedRAMP's guidance for agencies has an agency review the certification package and make its own risk decision for the information processed and the configuration selected. This factor applies when your team's use of the service handles federal information for an agency, and in that case the order should name the exact offering on the Marketplace record. For each of these three vendors that record belongs to one specific government or enterprise cloud service.

GitLab Ultimate, GitHub Advanced Security and Snyk on the five order questions

GitLab Ultimate: pipeline scans that feed protected-branch approvals

GitLab's SAST page lists Free, Premium and Ultimate in its tier line, and the pages for pipeline secret detection, container scanning and infrastructure as code scanning do the same. Dependency scanning, DAST and API security testing carry an Ultimate tier line, which is why the pick is Ultimate for a team that wants those scans in its pipeline. GitLab's Dunelm case study describes the UK retailer running SAST, DAST, secret detection and dependency scanning in its pipelines on GitLab Ultimate.

SAST and infrastructure as code jobs need a Linux runner with the Docker or Kubernetes executor on AMD64, and GitLab's pages rule out Windows runners. Confirm who supplies those Linux runners if your build jobs run on Windows. Browser-based DAST needs a Docker-executor runner on Linux/amd64, a deployed target and a network path from the runner to it, and GitLab warns against scanning production. API security testing adds a specification such as an OpenAPI document or a Postman collection, with the job placed in a stage after deployment. Advanced SAST, the cross-file analyzer, is labeled Ultimate only on the analyzers page, and secret push protection is a separate Ultimate feature that a Dedicated or Self-Managed instance has to allow before a project turns it on.

Scan execution policies enforce GitLab scans in pipelines or on a schedule across the projects linked to a security policy project, and a project's own CI file cannot override them. Approval policies are the second control: they require approvals based on scan results on protected target branches, and GitLab evaluates them from the report artifact after the scanning job finishes. The approval policy page says the policies do not check the integrity or authenticity of those results, so protect the runner and the job definition that produce the report as part of your own controls. A missing or invalid evaluation requires approval by default, and a fallback setting changes that behavior.

Enforce is the default mode, and it blocks a merge request that violates the policy. Warn mode lets the merge request proceed with bot comments, and for that route GitLab says the audit events record that a bypass occurred and leave out the bypass comment and the dismissal reason. A third route exempts designated users, groups, roles, access tokens or service accounts in the policy's bypass settings. A designated user gives a reason in the merge request or in a push option, and GitLab logs those bypasses as audit events in the security policy project. Ask GitLab to show you the fields a designated-bypass event stores and the export procedure before you rely on it for an audit.

GitLab's audit events page says events are kept indefinitely, and the interface and the group and project API each return a span of at most 30 days per query. On Self-Managed, the instance audit export writes a CSV file capped at 100,000 events.

GitLab's pricing page sends an Ultimate buyer to a custom quote. The seat documentation counts billable users by role, and on Ultimate a Guest is not billable; GitLab-created bots and service accounts are not billable either. GitLab Credits are a separate usage meter that the pricing FAQ applies to the Duo Agent Platform, and compute minutes and storage are sold as add-ons. Have the quote state the seat count by role and each usage line you expect to draw on.

GitLab Self-Managed installs on your own infrastructure, on premises or in a cloud, and the pricing FAQ puts GitLab.com on Google Cloud Platform in the USA. For a disconnected site, the offline guide requires an exemption from cloud licensing arranged through sales before purchase. Scanner images then come from an internal registry, and rule and advisory databases are updated by hand. The guide sets out offline conditions scanner by scanner, so confirm them for each scan you need. GitLab Dedicated is a single-tenant service that GitLab hosts and manages on AWS, and its region choices are made when the instance is created and cannot be changed afterward.

The FedRAMP Marketplace record for GitLab names one offering, GitLab Dedicated for Government, and lists it as FedRAMP Certified at the Moderate impact level, Class C, on the Agency path. That edition is a separate product from Ultimate on GitLab.com or Self-Managed, so a federal buyer should have GitLab confirm in the order which scanners it includes. GitLab's page for the Government edition describes an isolated instance on AWS GovCloud in the US-West region and lists the Duo Agent Platform as unavailable.

GitHub Advanced Security: CodeQL, dependency review and secret scanning for teams on GitHub

GitHub sells Advanced Security as two products, Secret Protection and Code Security, to organizations on GitHub Team or GitHub Enterprise plans, according to its documentation overview. The product page prices Secret Protection at $19 and Code Security at $30, each per active committer per month.

An active committer, in GitHub's billing documentation, is someone whose commit was pushed to a repository with the product enabled in the last 90 days, whatever the date the commit was written, and GitHub App bots are left out. On metered billing there is no license cap. A hard budget stops new enablement, and committers on repositories already enabled are still billed.

Code Security runs CodeQL through code scanning, and GitHub lists C/C++, C#, Go, Java/Kotlin, JavaScript/TypeScript, Python, Ruby, Rust, Swift and GitHub Actions workflows as its languages. The same page warns that unlisted languages, PHP and Scala among them, are unsupported. CodeQL runs from GitHub's default setup or a workflow, and its CLI also runs in an outside CI system with the results uploaded. Results from other scanners enter the same alert list through SARIF upload, which ingests a third-party tool's output. If you need container image, infrastructure as code, dynamic or API testing, ask GitHub which product covers each one and price any outside scanner whose results you would upload.

GitHub's feature list puts the dependency graph and Dependabot alerts on every plan and lists dependency review with Code Security. Secret scanning alerts, push protection and delegated bypass come with Secret Protection. AI Scan for pull requests is a public preview for languages CodeQL does not cover, with PHP, Terraform HCL and Dockerfiles among GitHub's examples. It requires a Copilot license on top of Advanced Security and consumes AI credits, and its findings are advisory and cannot block a merge.

The code scanning ruleset rule blocks a pull request when a required tool reports an alert at or above the chosen severity, or when that tool's analysis is unfinished or not configured. It is set at repository level, and at organization level on GitHub Enterprise plans. The dependency review action fails on vulnerable packages by default and blocks merging once the repository owner requires the check. A rule that blocks merges on secret alerts is in public preview and leaves out AI-detected secrets.

Delegated bypass for push protection puts a bypass request in front of a reviewer, and a request expires after seven days. Delegated alert dismissal has a contributor with write access request a dismissal that an organization owner or security manager approves or denies. GitHub's guide to auditing security alerts says secret scanning writes audit-log events, a push protection bypass among them, and that code scanning creates no timeline events in the audit log, so code scanning decisions are read from each alert's own timeline; ask GitHub how long that timeline is kept. The organization audit log covers the last 180 days and exports as JSON or CSV.

GitHub.com stores data in the USA by default, and GitHub Enterprise Cloud with data residency on GHE.com lists the EU, Australia, the US and Japan as regions. GitHub Enterprise Server is the self-managed route: it supports both products when the license includes them, and Actions-based scans there need self-hosted runners. For a Server instance with no internet access, GitHub's appliance guide has an administrator copy the CodeQL analysis bundle from GitHub.com with a sync tool. That step covers CodeQL, so ask about each other feature you plan to run disconnected.

The FedRAMP Marketplace record under GitHub's name is for GitHub Enterprise Cloud: FedRAMP Certified, Rev5, Agency path, Class B (Low). Whether a given Advanced Security feature falls inside that package is a question for the agency's review of it. GitHub's KPMG customer story says the firm uses Advanced Security and Actions for standardized scans across repositories, with Dependabot, CodeQL and secret scanning with push protection in use.

Snyk: hosted scanning by product for teams keeping their repository workflow

Snyk sells scanning as separate products: Code for static analysis of source, Open Source for package dependencies, Secrets, Container for images, IaC for configuration files, and API & Web for dynamic tests of running applications. Its CLI documentation gives the code, dependency, secrets, container and configuration scanners their own test commands, and Snyk documents IDE, source control and CI/CD routes that differ by product. Snyk Secrets became generally available on August 4, 2026, according to Snyk's release announcement.

Snyk's support matrix says language coverage varies by product and by interface, so a language supported in the CLI needs checking again for the source control integration. Snyk IaC shows the pattern: its file-scanning list marks Azure Resource Manager templates as CLI-only and Helm charts as available through source control only. The Code CLI requires Code to be enabled in the Snyk organization and an installed, authenticated CLI at a supported version, so have Snyk name the minimum CLI version for your integration.

Web and API testing are one product, Snyk API & Web, metered by the target. It tests a deployed application the scanner can reach, and an API target needs a base URL and a definition such as an OpenAPI file or a Postman collection, according to Snyk's API and web documentation. For an application inside a private network, Snyk's scanning agent installs on the customer's side through Docker, Docker Compose, Kubernetes, Windows or Linux and connects to the Snyk API & Web service.

Snyk's plans page shows Free at $0 and Team starting at $25 a month, described for teams of up to 10 developers. Ask Snyk which unit that starting price applies to, and whether a Team plan includes Secrets and API & Web, which appear on the Enterprise rate card. Enterprise is a platform subscription bought as prepaid credits, and the rate card charges by the day: 1.0 credit per active contributor for Code, 0.33 per monitored image for Container and 3.0 per provisioned target for API & Web.

Snyk's credit policy defines an active contributor as someone who committed to a private repository Snyk monitors during the preceding 90 days, counted on a rolling basis, with Snyk's own bots excluded. An imported repository with an active project consumes for the day even when no scan runs. A container image counts once a day however many times it is scanned, and an API & Web target is metered for a full day for any part of a day it is provisioned. Unused prepaid credits expire at the end of the contract term, and usage beyond them is invoiced in arrears at the per-credit price in your order.

Snyk's guide to failing builds with the Open Source CLI sets a severity threshold for the issues that fail a test, and its --fail-on modes can limit failure to issues Snyk can remediate. Make the Snyk check a required condition in your repository host, and test that a failing result holds the merge there. For Secrets, Snyk's general availability announcement describes a pull request check that blocks merging.

For API & Web, a risk-acceptance update from October 2025 requires a reason for each accepted risk and lets account owners require an expiry, an approver name and an approval date. An expired acceptance returns the finding to an unresolved state, and the acceptance details are recorded in the finding log. That update covers API & Web, so ask Snyk how exceptions are approved and logged for each other product you buy, and how long its audit logs are kept.

Snyk's deployment page lists multi-tenant SaaS for all plans and, for Enterprise, Private Cloud, a single-tenant instance on AWS that Snyk supplies and administers. The page says Snyk has no on-premises platform option. Snyk Broker is a client you deploy on your own infrastructure between Snyk and your source repositories, and it keeps repository credentials on your side. Snyk's residency documentation has the region chosen during onboarding and says data cannot move between regions without onboarding again; it lists source code and audit logs as stored in the region, and billing, support tickets and authentication data as stored globally.

The FedRAMP Marketplace record is for Snyk for Government: FedRAMP Certified, Rev5, Agency path, Class C (Moderate). Snyk's page on the government service lists its differences from the commercial product, among them a Container product without the Kubernetes Integration and a CLI that must run in OAuth mode because API keys are unsupported.

Snyk's Telenor Denmark case study describes a development group of about fifty using Open Source and Container, connected to Bitbucket and Jira. On Capterra, Snyk's listing shows 4.6 out of 5 from 21 reviews.

Which application security tool should a DevSecOps team choose?

GitLab Ultimate is our pick for DevSecOps teams using GitLab CI and protected branches, provided the order confirms scanner and runner prerequisites, enforced merge policies and bypass records, seat and usage charges, deployment and data location, and the exact government service when federal authorization is required. GitLab documents both steps for that team inside one product: scan execution policies run the scans, and approval policies hold the merge on a protected branch from the results. We weigh that route from scan to approval first because the scan result and the approval decision are recorded in the system the team already operates.

GitHub publishes dollar prices per active committer for its two security products, and GitLab's page sends an Ultimate buyer to a quote. A team that has to set a budget before it talks to sales gets further on GitHub's page. We still put the pipeline and protected-branch route first for the GitLab CI team, because the seat count and usage charges can be written into the order before signing, and the merge controls are what the team works with on every protected branch.

GitHub Advanced Security is the better pick for the team whose code already lives on GitHub and whose priorities are CodeQL, dependency review and secret scanning. For any scan beyond that set, confirm the product or the outside tool in the order. GitHub's ruleset rules and required checks hold the pull request, and delegated bypass and dismissal put a reviewer in front of an exception.

Snyk is the better pick for the team that keeps its repositories and pipelines where they are and wants hosted scanning bought product by product through Snyk's integrations. Confirm the interface and language support for each product you plan to buy. Snyk also suits the team with web applications or APIs inside a private network, which the scanning agent reaches from the customer's side.

Other application security providers