Best enterprise SAST tools for replacing legacy scanners

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This is a sponsored article brought to you by Aikido Security.

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A security team runs its weekly scan. Six hours later, a report arrives with 4,000 findings. Some refer to code removed months ago. Others describe genuine vulnerabilities, though nobody can tell which ones matter most without opening the repository and investigating.

The report gets distributed. Developers question the results. Security asks for updates. Another scan runs the following week. Plenty of enterprises still operate this way.

Traditional static application security testing (SAST) scanners were built around scheduled assessments, extensive rule libraries, and security teams reviewing findings separately from development. Those capabilities remain useful, but the workflow can become awkward when hundreds of repositories change daily.

Modern SAST platforms approach the problem differently. They integrate with pull requests, provide more context around findings, and increasingly help developers prepare fixes.

Replacing an established scanner still takes work. Language coverage, custom rules, audit requirements, and historical findings all need consideration. The eight tools below offer different approaches to that transition.

1. Aikido Security: bringing detection and remediation together

A developer receives a dependency alert. The vulnerable package is buried three levels deep, and the suggested upgrade changes a public API. Someone has to investigate the risk, identify the right version, update the dependency, repair any broken calls, and get the change reviewed.

Meanwhile, the SAST scanner has produced another queue of code findings.

Aikido Security brings these activities into a broader application security workflow. Its platform combines SAST with software composition analysis, secrets detection, malware scanning, deep pull-request reviews, and AI-assisted remediation.

The distinction matters for enterprises replacing older scanners. Finding vulnerable code is only the beginning. The time between detection and a reviewed correction often determines whether the issue gets resolved promptly or remains in the backlog.

How Aikido changes the workflow

Aikido’s approach centers on reducing manual work around security findings:

• Contextual prioritization: Findings are assessed using application context rather than severity scores alone.
• SAST and dependency scanning: Teams can investigate code vulnerabilities and vulnerable third-party packages within one platform.
• AI AutoFix: The platform can help prepare proposed fixes and pull requests for developer review.
• Pull-request security checks: New code changes can be examined before they reach production.
• Additional AppSec coverage: Secrets, malware, and other security issues can be investigated without maintaining entirely separate workflows.

Consider an enterprise maintaining forty services built by different teams. A vulnerable dependency appears in twelve repositories. Some applications use the affected functionality; others may not. Several require a major-version upgrade.

Aikido’s contextual analysis helps teams investigate the findings before assigning remediation work. Where an appropriate correction can be prepared, AutoFix can reduce the effort involved in creating the change.

Developers still need to review the pull request, run relevant tests, and check compatibility. A generated patch is a proposal, not a guarantee that every upgrade will behave correctly in production.

For organizations accustomed to scanners that produce reports and leave everything else to engineers, this represents a meaningful change in daily work.

Best for: Enterprises seeking consolidated AppSec, contextual prioritization, and developer-reviewed automated remediation.

2. Checkmarx One: enterprise SAST with centralized control

Replacing a legacy scanner is rarely as simple as connecting a new repository.

Large companies may have internal coding standards, hundreds of custom security policies, and applications written in languages that newer development-focused tools do not always cover equally well.

Checkmarx One is designed for this sort of environment. Its application security platform includes SAST alongside other testing capabilities, with centralized management and integration into development pipelines.

Where Checkmarx fits

Checkmarx is worth evaluating when an organization needs:

• Broad programming-language and framework coverage.
• Centralized security policies across development groups.
• Integration with CI/CD and repository workflows.
• Consistent reporting for security management.
• Support for complex enterprise application portfolios.

One practical concern is rule migration. A company may have spent years tuning its previous scanner to recognize internal frameworks and suppress accepted findings.

Those decisions cannot simply be assumed to transfer unchanged.

During a Checkmarx pilot, select applications with unusual architecture and established custom rules. Compare the resulting findings with those from the current scanner. Look at accuracy, investigation time, and whether the new workflow supports the security policies the organization actually uses.

Best for: Large enterprises needing extensive SAST coverage and centralized AppSec governance.

3. Veracode: SAST for organizations with formal security processes

A financial services company cannot always deploy a security fix as soon as a developer approves it.

The change may require testing evidence, a documented exception process, or approval from a separate security function. Even when the engineering team moves quickly, the organization needs a record of what was found and how it was handled.

Veracode serves enterprises with these requirements.

Its platform provides static analysis, developer integrations, remediation guidance, and policy-based application security management.

Veracode also supports different scanning workflows, allowing organizations to combine developer feedback with more formal security assessments.

What to investigate before migrating

The important questions concern the whole approval process.

Can developers receive useful feedback before submitting a change? Can security teams apply consistent policies? How are findings tracked across releases? What happens when a team accepts a risk temporarily?

Veracode’s policy and reporting capabilities make it relevant to organizations where these decisions must be documented.

Scanning speed deserves attention too. A lengthy assessment may be acceptable for a scheduled compliance review but unsuitable for every pull request.

A realistic evaluation should test both situations instead of expecting one scanning configuration to serve every purpose.

Best for: Enterprises with established security policies, audit requirements, and formal remediation procedures.

4. Semgrep: flexible code analysis for engineering teams

Some legacy SAST products are difficult to customize. Writing a new rule requires specialist knowledge, and understanding why an existing rule fired can be equally frustrating.

Semgrep takes a more developer-oriented approach.

Its code analysis capabilities include configurable rules and support for identifying security patterns within application source code. Teams can create rules that reflect their frameworks and coding conventions.

That flexibility becomes useful when an enterprise has internal libraries or application patterns that generic scanners struggle to understand.

A practical example

Suppose an organization uses an internal database wrapper.

Developers are required to use parameterized queries through that wrapper, but the existing scanner does not understand the abstraction. It repeatedly reports safe calls and misses certain unsafe patterns.

With Semgrep, the security team can develop rules around the organization’s actual code conventions.

There is work involved, of course. Custom rules require maintenance, testing, and ownership. An inaccurate rule deployed across hundreds of repositories can create a remarkable amount of noise.

Semgrep also offers broader application security capabilities, including SCA. For enterprises consolidating tools, that may influence the decision.

Best for: Engineering-led security programs that need customizable analysis and close integration with source-code workflows.

5. Snyk Code: static analysis inside everyday development

A developer opens a pull request to modify an authentication endpoint. The change is small. Perhaps fifteen lines.

The security team does not need a sixty-page report about the entire application. It needs to know whether the new code introduces a vulnerability and what the developer should do about it.

Snyk Code focuses on integrating static analysis into development activities.

Its scanning capabilities work alongside Snyk’s broader developer security products, including open-source dependency scanning.

For organizations already using Snyk to manage vulnerable packages, adding code analysis may simplify the number of security systems developers encounter.

Where to focus the trial

Test how the platform behaves when developers introduce realistic mistakes:

• An authorization check is omitted.
• User-controlled input reaches an unsafe operation.
• A sensitive value is exposed through application logic.
• A previously reported issue is corrected in a new commit.

Pay attention to the explanations attached to findings. A warning that identifies a suspicious line is useful. One that also explains the data flow and suggests a reasonable correction saves investigation time.

Language coverage and the depth of analysis should be checked against the company’s actual applications.

Best for: Development teams seeking integrated code and dependency security within their existing workflows.

6. GitHub Advanced Security: CodeQL where the repositories live

For companies already managing development in GitHub, introducing a separate scanning platform can feel like unnecessary overhead.

GitHub Advanced Security offers CodeQL-based code scanning within the repository environment, alongside other security capabilities.

Developers can examine findings near their code, review security alerts, and use pull-request checks as part of the existing development process.

The convenience is substantial, especially when teams already depend on GitHub Actions.

The migration question

An enterprise replacing a legacy scanner should examine CodeQL’s coverage for its programming languages and frameworks, including any internally developed technologies.

Custom query development is another consideration.

CodeQL can support sophisticated analysis, but writing and maintaining queries requires expertise. An organization with extensive custom rules must determine how those checks will be recreated and validated.

The platform also needs to fit the company’s repository structure and security permissions.

For businesses whose development is concentrated in GitHub, keeping analysis close to the code may reduce the number of systems engineers need to visit.

Best for: GitHub-centered enterprises seeking integrated code scanning and repository security workflows.

7. GitLab Ultimate: SAST as part of the delivery pipeline

Some enterprises have already consolidated source control, CI/CD, and release management in GitLab.

Adding a standalone SAST scanner may mean managing another set of credentials, dashboards, integrations, and reporting processes. GitLab Ultimate provides application security capabilities within the GitLab development platform, including SAST.

This allows security checks to participate in pipeline workflows and makes findings available alongside development activity.

What makes the evaluation interesting

The first question is whether GitLab’s supported analyzers cover the applications the enterprise maintains. The second is operational: how much additional pipeline time does scanning introduce?

A security check that takes several minutes may be perfectly reasonable for a merge request. The same check becomes expensive when triggered unnecessarily across a large monorepo.

Teams should also investigate vulnerability management, exception handling, and reporting across projects.

GitLab can be a practical replacement for organizations that want fewer standalone security systems, provided its analysis capabilities meet their requirements.

Best for: Enterprises already using GitLab for source control and CI/CD.

8. OpenText Fortify: a familiar route for complex enterprise portfolios

Legacy SAST does not always mean obsolete technology.

Some enterprises maintain applications that have been running for decades. They may use older programming languages, unusual build systems, or custom frameworks that modern developer tools cannot analyze easily.

OpenText Fortify remains relevant in these environments. Its static analysis capabilities and enterprise security management features support organizations with complicated application portfolios and established security processes.

Fortify may also be familiar to security teams that have worked with traditional SAST platforms for years.

What to compare

When evaluating Fortify, examine language coverage, scan configuration, custom rules, and the effort required to maintain the analysis environment.

Integration into modern CI/CD pipelines matters, but so does support for applications that are rarely modified. A twenty-year-old internal system may have no automated build pipeline at all. The security team still needs a reliable way to assess changes.

Fortify deserves consideration when enterprise requirements extend beyond modern cloud-native repositories.

Best for: Organizations with complex or older applications requiring established static analysis capabilities.

Replacing a legacy SAST scanner without losing security coverage

The temptation is to switch off the old scanner as soon as the new platform starts producing findings.

That is risky.

Different analysis engines interpret source code differently. A vulnerability detected by one tool may not appear in another, even when both claim support for the same language.

A controlled migration gives teams time to investigate those differences.

Start with a parallel assessment

Choose a representative group of applications rather than a handful of clean demonstration projects.

Include modern services, older systems, custom frameworks, and repositories with known security findings.

Run the old and new scanners against the same code revisions. Compare more than alert totals.

A useful assessment examines:

• Finding quality: How many reported issues are actionable after investigation?
• Coverage: Are important languages, frameworks, and vulnerability classes supported?
• Developer effort: How long does it take to understand and address a finding?
• Pipeline performance: Can scanning run at the frequency development teams need?
• Policy migration: Can required rules, exceptions, and approval processes be preserved?
• Remediation: Does the platform help engineers prepare corrections and verify them?

Keep track of findings that appear in only one scanner. Some differences will reflect improved analysis; others may reveal coverage gaps.

Historical vulnerability records need a migration plan as well. Closing every old ticket and reopening thousands of new ones creates confusion without improving security.

The fix still needs a developer

Automated remediation has changed what enterprises can reasonably expect from security tools.

A scanner that identifies a vulnerable dependency and prepares an upgrade pull request removes several manual steps. Contextual prioritization can also help engineers decide which alerts deserve attention first.

But an upgrade can change application behavior. Tests may miss an integration problem. A suggested code fix might resolve the reported weakness while introducing an unexpected side effect.

Developer review remains essential.

That is why Aikido Security makes a strong first option for enterprises looking beyond traditional SAST reports: its broader workflow connects detection, prioritization, and proposed remediation. Checkmarx, Veracode, and Fortify offer compelling enterprise analysis and governance capabilities, while Semgrep, Snyk, GitHub, and GitLab provide different ways to bring security closer to development.

The best replacement is the one that handles the code your organization actually maintains and makes the next step after a finding easier to complete. Fewer unresolved tickets, clearer evidence, and fixes that reach production after proper review. That’s a much better outcome than another enormous scan report.