Snyk and Checkmarx Alternatives: Ostorlab vs Snyk Code, Checkmarx One and GitHub Advanced Security

Quick answer: The main alternatives to Snyk Code for static application security testing (SAST) are Ostorlab, GitHub Advanced Security (CodeQL), Checkmarx One, Semgrep and SonarQube. The main alternatives to Checkmarx One are Ostorlab, Snyk Code, GitHub Advanced Security, Veracode and OpenText Fortify. Ostorlab is the alternative for teams that need SAST findings proven exploitable: its AI agent reviews source code for logic flaws and tests each path against the running web app, API or mobile app.

Snyk Code, Checkmarx One and GitHub Advanced Security are each strongest in a different setting. Snyk Code is built for developers working in the IDE and pull request. Checkmarx One is built for enterprise AppSec teams that need broad language coverage, governance and audit reporting. GitHub Advanced Security is the natural choice for teams whose code already lives on GitHub. Ostorlab takes a different approach: when the code is scanned together with the running app, the agent attaches a working exploit to each finding it confirms. Choose Ostorlab when the problem is too many unproven findings, or when the risk sits between your code and the apps built from it.

Ostorlab at a glance

• What it is: Ostorlab is an application security testing platform for source code, web apps, APIs and mobile apps (Android, iOS and HarmonyOS).
• Best for: Teams that want SAST findings proven exploitable, and teams whose risk crosses code, APIs and mobile apps.
• Deployment: SaaS, hybrid, or scanner nodes on-premises.
• Core capabilities: Agentic source code analysis for logic flaws, multi-asset scans of code together with the apps built from it, exploit validation against the running target, and fixes pushed to the pull request.
• Key differentiator: When a running app is in scope, every finding Ostorlab's AI agents confirm comes with a working exploit, severity, impact and evidence. Repositories scanned on their own get findings with code context and evidence, without an exploit.
• AI model: Ostorlab Cyber Models or your own AI provider key.
• Pricing: Published plans.

About this comparison

This comparison is published by Ostorlab, which develops and sells the Ostorlab platform compared here. Descriptions of Snyk, Checkmarx and GitHub are based on their public websites and product documentation as of 7 October 2026, linked in Sources. Descriptions of Ostorlab are based on Ostorlab's own product pages and documentation.

Evaluation criteria: language coverage, developer workflow (IDE, pull request, CI/CD), how false positives are handled, whether a finding is proven exploitable, logic and multi-step bug detection, testing across code and running apps, AI-assisted fixes, deployment and data control, and pricing model.

Comparison at a glance

What each tool is best at

Snyk Code

Snyk Code is a developer-first SAST tool that supports 16 language groups: Apex, C/C++, COBOL, Dart and Flutter, Go, Groovy, Java and Kotlin, JavaScript, .NET (C# and VB.NET), PHP, Python, Ruby, Rust, Scala, Swift and Objective-C, and TypeScript. Its strength is the developer workflow: IDE plugins for VS Code, JetBrains IDEs, Visual Studio and Eclipse, fast scans, and Snyk Agent Fix, which generates and checks candidate fixes for Snyk Code findings. Snyk Code sits inside a wider Snyk platform that also covers open-source dependencies, containers and infrastructure as code.

Snyk is SaaS. Teams with a self-hosted Git server connect it through Snyk Broker rather than running the whole product on their own infrastructure. Snyk's Remediation Agent, in public preview, can generate fixes with your own LLM key. Snyk's plans start with a free plan, and the Team plan starts at $25 per month.

Best fit: Snyk Code is best for engineering-led teams that want developers to find and fix issues themselves, inside the IDE and pull request.

Checkmarx One

Checkmarx is one of the longest-established enterprise SAST vendors. Checkmarx One combines SAST with SCA, secrets, IaC, container and API security. It covers a wide range of languages, including legacy ones such as COBOL and PL/SQL, and offers strong governance, policy and reporting. Its Finding Analysis Engine confirms true positives and suppresses false ones, which Checkmarx says reduces false positives by 60%. Triage Assist ranks findings by how attackable they are, and Developer Assist brings AI fixes into the IDE.

Checkmarx One runs in the cloud. Checkmarx still sells CxSAST for on-premises deployment, but Checkmarx states that CxSAST uses the traditional rules-based engine, without the AI-based engine, the Finding Analysis Engine or Checkmarx Fusion.

Best fit: Checkmarx One is best for large organizations with a dedicated AppSec team, a broad or legacy language estate, and compliance reporting needs.

GitHub Advanced Security (CodeQL)

GitHub Advanced Security is now sold as two products: GitHub Code Security, at $30 per active committer per month, and GitHub Secret Protection, at $19 per active committer per month. Both require a GitHub Team or Enterprise plan. Code Security includes CodeQL code scanning, Copilot Autofix, dependency review and security campaigns. Code scanning and secret scanning are on by default for public repositories.

CodeQL covers C/C++, C#, Go, Java and Kotlin, JavaScript and TypeScript, Python, Ruby, Rust, Swift and GitHub Actions workflows. Its semantic analysis follows data flow across files, and default setup turns code scanning on from the repository settings, with alerts shown on the pull request. Outside GitHub, the main option is GitHub Advanced Security for Azure DevOps.

Best fit: GitHub Advanced Security is best for teams whose repositories and pull requests already live on GitHub and who want security in the same place.

Ostorlab

Ostorlab is an application security testing platform for source code, web apps, APIs and mobile apps. Ostorlab supports all programming languages, and its source code page lists 53, including Python, JavaScript, TypeScript, Java, Kotlin, Go, C, C++, C#, PHP, Ruby, Rust, Scala, Swift, Objective-C, Dart, Elixir and Zig. Instead of matching code against a rule set, an AI agent reasons over cross-file data flows, dependencies, framework patterns and chained conditions. That lets it look for complex and business logic flaws, such as broken authorization, unsafe state transitions and workflow bypasses, that pattern matching often misses. You choose the effort level (Core, Advanced or Elite) and run it on Ostorlab Cyber Models or your own AI provider key.

The bigger difference is what happens next. In a multi-asset scan, Ostorlab scans your repositories together with the web apps, APIs and mobile apps built from them. The agent then tests each path against the running target and reports it with a proof-of-concept exploit, so a finding arrives as proven risk rather than a theoretical alert.

Best fit: Ostorlab is best for security teams buried in unproven SAST alerts, and for teams whose real risk crosses code, APIs and mobile apps.

Key differences

Detecting a flaw vs proving it

Snyk Code, Checkmarx and CodeQL are all static: they decide whether a code path looks vulnerable without running it. Each has invested heavily in reducing noise, through symbolic and machine-learning analysis at Snyk, AI finding analysis and triage at Checkmarx and semantic data-flow analysis in CodeQL. These improve the odds that a finding is real, but the result is still a prediction.

Ostorlab adds a step the static tools don't take. When the running application is in scope, the agent tries to reach the vulnerable path from outside and records the request, the response and the impact. A finding that comes with a working exploit doesn't need a debate about whether it is reachable.

Code alone vs the path through the whole application

Many serious bugs don't sit in one place. A token left in a repository, accepted by an API, and used from a mobile app looks like three low-risk findings when each asset is scanned on its own. Snyk, Checkmarx and GitHub scan code as code.

Ostorlab's multi-asset scan puts repositories, APIs, web back ends and mobile apps into one scan, so the agent can follow a weakness from the code that introduced it to the endpoint where it can be exploited. Developers then get a fix that points at the code, not just at the endpoint where the bug showed up.

Developer workflow

This is where the developer-first tools lead. Snyk has mature IDE plugins, Checkmarx brings Developer Assist into the IDE, and GitHub puts code scanning alerts and Copilot Autofix directly on the pull request.

Ostorlab works at the pull request level: scan the exact branch, tag or commit under review, triage prioritized findings, and push the fix back into the pull request. It doesn't ship a plugin for code editors. Ostorlab's own IDE is an analysis environment in the platform, where security engineers browse the code and app files, follow taint analysis, traffic and API requests, and write custom checks on top of the scan. Developers who work with AI assistants can reach their findings through the Ostorlab MCP server from clients such as Cursor, VS Code, Claude Code, Windsurf and Zed. If in-IDE scanning as you type is the requirement, Snyk or Checkmarx is the better fit.

Deployment and data control

Snyk is SaaS, with Snyk Broker for self-hosted source control. GitHub Advanced Security runs on GitHub, or on Azure DevOps through Microsoft. Checkmarx offers on-premises CxSAST, without its newest AI capabilities.

Ostorlab runs as SaaS, or with scanner nodes deployed inside your environment for private repositories and pre-release applications. Because the AI analysis can run on your own provider key, teams in banking, healthcare and government can keep code reasoning on a model they already control.

Pricing model

GitHub's cost grows with the number of people who commit, which suits small teams and gets expensive for large ones. Compare on the size of your team and the number of applications you need covered, not on list price alone.

Which one should you choose?

• Choose Snyk Code if developers own security findings and you want feedback in the IDE as code is written.
• Choose Checkmarx One if you run a large AppSec program with legacy languages, strict governance and audit reporting.
• Choose GitHub Advanced Security if your code is on GitHub and you want the least friction, with per-committer pricing.
• Choose Ostorlab if your team spends too long triaging findings nobody can prove, or if you need code, APIs, web and mobile apps tested together, with exploit evidence and the option to run on-premises or on your own AI key.

These tools aren't mutually exclusive. A common setup keeps a developer-first scanner in the IDE and pull request, and uses Ostorlab to find logic flaws and prove which issues are exploitable in the running application.

Best Snyk Code alternatives

The best Snyk Code alternatives in 2026 are Ostorlab, GitHub Advanced Security, Checkmarx One, Semgrep and SonarQube. The right one depends on why you are leaving Snyk.

1. Ostorlab is a Snyk Code alternative for teams that want each finding proven exploitable, with source code tested together with the web apps, APIs and mobile apps built from it.
2. GitHub Advanced Security is a Snyk Code alternative for teams whose code and pull requests are on GitHub, at $30 per active committer per month for GitHub Code Security.
3. Checkmarx One is a Snyk Code alternative for enterprises that need central governance, audit reporting and legacy languages such as COBOL.
4. Semgrep is a Snyk Code alternative for teams that want fast scans and custom rules they write themselves.
5. SonarQube is a Snyk Code alternative for teams that want SAST folded into their existing code-quality gates, with a self-hosted option they run themselves.

Best Checkmarx alternatives

The best Checkmarx alternatives in 2026 are Ostorlab, Snyk Code, GitHub Advanced Security, Veracode and OpenText Fortify. Teams moving away from Checkmarx usually want less noise, a lighter developer workflow or a simpler price.

1. Ostorlab is a Checkmarx alternative for teams that want less noise through proof: its AI agent tests findings against the running app instead of only analyzing static results, and it runs on-premises with your own AI provider key.
2. Snyk Code is a Checkmarx alternative for developer-led teams that want fast feedback in the IDE and pull request.
3. GitHub Advanced Security is a Checkmarx alternative for teams on GitHub that want CodeQL and Copilot Autofix in the pull request, with per-committer pricing.
4. Veracode is a Checkmarx alternative for enterprises that need broad language and binary coverage with strong governance.
5. OpenText Fortify is a Checkmarx alternative for enterprises with an established AppSec program and on-premises requirements.

For Semgrep, SonarQube, Veracode, Black Duck Coverity and OpenText Fortify in more detail, see Best Source Code Scanning Tools (2026 Guide).

FAQ

What is the best alternative to Snyk Code?

The best alternative to Snyk Code depends on why you're leaving. GitHub Advanced Security suits teams that are fully on GitHub. Checkmarx One suits enterprises that need governance and legacy language coverage. Ostorlab suits teams that want findings proven exploitable and tested across code, APIs and mobile apps.

What is the best alternative to Checkmarx?

Teams moving away from Checkmarx usually want less noise or a lighter developer workflow. Snyk Code and GitHub Advanced Security are lighter for developers. Ostorlab reduces noise differently, by proving exploitability against the running application instead of only analyzing static findings.

What are the best SAST tools in 2026?

The leading SAST tools in 2026 are Ostorlab, GitHub Advanced Security (CodeQL), Semgrep, Snyk Code, Checkmarx One, SonarQube, Veracode, Black Duck Coverity and OpenText Fortify. Ostorlab is the one that proves findings exploitable against the running app.

Is Ostorlab a SAST tool?

Yes. Ostorlab scans source code for vulnerabilities like a SAST tool, using an AI agent instead of a fixed rule set. It also tests web apps, APIs and mobile apps, so it can prove a code finding against the running app.

Is GitHub Advanced Security worth it?

For teams on GitHub, GitHub Code Security's CodeQL scanning and Copilot Autofix are hard to beat for convenience. The trade-offs are price, at $30 per active committer per month, and that CodeQL, like other SAST tools, reports on code without testing the running app.

Does Ostorlab replace Snyk or Checkmarx?

Ostorlab can replace Snyk Code or Checkmarx One for teams whose priority is proven risk and logic flaws. Teams that want scanning as they type in the IDE often keep a developer-first scanner and use Ostorlab for agentic analysis and exploit validation.

Which programming languages does Ostorlab support for source code scanning?

Ostorlab supports all programming languages. Its source code page lists 53, including Python, JavaScript, TypeScript, Java, Kotlin, Go, C, C++, C#, PHP, Ruby, Rust, Scala, Swift, Objective-C, Dart, Elixir and Zig.

Can Ostorlab scan source code on-premises?

Yes. Ostorlab scanner nodes can run inside your environment for private repositories, and the AI analysis can use your own AI provider key.

How this comparison was made

• Facts about Snyk, Checkmarx and GitHub come from their official documentation and pricing pages, checked on 7 October 2026 and linked in Sources. Vendors update these pages often.
• The comparison covers published capabilities and pricing, not a detection-rate benchmark.
• Ostorlab attaches a working exploit when the running web app, API or mobile app is in scope. A repository scanned on its own gets findings with code context and evidence.

Sources

Facts about other vendors were checked on 7 October 2026 against these official pages:

• Snyk: supported languages, IDE plugins, Snyk Agent Fix, Snyk Broker, Remediation Agent, plans
• Checkmarx: Checkmarx One platform, SAST supported languages, Finding Analysis Engine announcement, Developer Assist, CxSAST, packaging
• GitHub: security plans and pricing, CodeQL supported languages, GitHub Advanced Security for Azure DevOps
• Ostorlab: source code scanning, multi-asset scan, on-premises scanning, MCP server, plans

The bottom line

Snyk Code, Checkmarx One and GitHub Advanced Security are all strong SAST tools, and the right one depends on who owns your findings: developers, an enterprise AppSec team, or a team that lives on GitHub. All three answer the same question: does this code look vulnerable? Ostorlab answers the next one: can someone actually exploit it, and through which part of the application?

See it on your own code: run a source code scan and compare the findings with the tool you use today.

Already using Snyk, Checkmarx or GitHub Advanced Security? Compare Ostorlab with your current tool on the same app: same target, same time box. A finding counts only after your team has reproduced it.