What Is SAST? How Static Application Security Testing Works

What is SAST?

SAST (Static Application Security Testing) is a white-box testing method that analyzes source code, bytecode, or binaries for security vulnerabilities without executing the program. This means teams can identify insecure code patterns before applications ever run in production.

Unlike testing methods that probe running applications from the outside, SAST examines code internally. It uses techniques like dataflow analysis and taint tracking to trace how untrusted input moves through your codebase and where it might reach sensitive operations.

While some SAST tools reference vulnerability databases for third-party code, their core strength is pattern-based detection of insecure coding practices in custom code.

SAST isn't the only tool that scans static assets. Linters, SCA scanners, and IaC analyzers also operate on static code but serve different purposes. The tool is often used early in the SDLC, but modern workflows also run SAST on existing codebases to catch regressions and legacy risks.

Because SAST helps development teams as well as AppSec and CloudSec groups collaborate, it prevents future rewrites by improving safe code implementation.

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How does SAST differ from DAST?

SAST and Dynamic Application Security Testing (DAST) have fundamentally different approaches to application security testing, and each has its own strengths and weaknesses. Understanding how they differ helps teams build a more complete testing strategy.

However, it's not about SAST vs. DAST. These two approaches are actually complementary, not competing. Here's what each is best suited for:

• SAST: Identifies issues during development

• DAST: Detects vulnerabilities that only appear when the application is live

When you combine SAST, DAST, and runtime protection with cloud context, you build a layered security posture that covers the entire application lifecycle, from early development through production.

Below is a breakdown of the two methods:

How does SAST work?

SAST works by parsing your code into internal representations and then checking those structures against security rules. The scanner never runs your application. Instead, it builds models of how data flows through your code and flags patterns that match known vulnerabilities.

These tools rely on rulesets or vulnerability databases, which can be local or cloud-based, to detect risky patterns. A scanner might flag unsanitized inputs flowing into SQL queries, insecure function calls, or outdated cryptographic implementations based on language-specific rules.

Here is a step-by-step overview of how SAST works in practice:

1. Initialization: Your team configures the SAST tool to scan code assets, including code files, configuration files (like YAML and XML), scripts, and markups.

2. Code parsing: The SAST tool parses the code and translates it into internal representations, such as syntax trees and control flow graphs.

3. Pattern matching and rules application: The tool uses rulesets from vulnerability databases, like OWASP Top 10 and similar checks, to scan for secrets, outdated libraries, poor configuration settings, and more.

4. Contextual insights: A SAST tool analyzes your code and traces data flows to identify vulnerabilities and sensitive operation exposures.

5. Detection and reporting: The SAST tool provides severity ratings, remediation advice, and integrations with IDEs for the CI/CD pipeline.

6. Remediation and improvement: Your team reviews and fixes the flagged vulnerabilities within their IDE or CI/CD reports. Through continual improvement and by taking a DevSecOps shift-left approach, your team can regularly refine the SAST to reduce false positives and identify new types of threats.

With these steps in place, your SAST tool should provide the following capabilities:

Developer integrations: IDEs and CLIs

Organizations typically integrate SAST tools into two developer workflows:

• IDE extensions provide real-time feedback as your developers write code by surfacing security issues in-line before committing code.

• CLI tools can connect to version control systems, allowing for automatic scans to run during commits, pull requests, or builds.

The goal is to catch issues as early as possible. Ideally, SAST identifies problems before they reach version control, but it can still uncover security risks in existing code later in the pipeline.

Continuous scanning through CI/CD

By integrating SAST into your CI/CD pipelines to analyze custom code for security flaws, you can catch vulnerabilities early and consistently during development. Embedding SAST into development and CI/CD workflows also helps you create a continuous feedback loop that improves security posture without slowing down delivery.

By integrating SAST into your CI/CD pipelines to analyze custom code for security flaws, you can catch vulnerabilities early and consistently during development. Embedding SAST into development and CI/CD workflows also helps you create a continuous feedback loop that improves security posture without slowing down delivery.

What challenges does SAST address?

Catching vulnerabilities after deployment costs significantly more to fix than finding them during development. SAST addresses this by analyzing source code before applications run, helping organizations identify and remediate security issues at the earliest possible stage.

By integrating into the software development lifecycle (SDLC), SAST helps teams:

• Identify code-level vulnerabilities early: SAST detects common coding flaws such as SQL injection, cross-site scripting (XSS), and insecure API usage before they reach production.

• Shift security left: By integrating into developer workflows and CI/CD pipelines, SAST enables teams to catch and fix security issues during development, reducing both remediation costs and delays.

• Help enforce secure coding standards: SAST helps teams adhere to secure coding best practices and frameworks, like OWASP Top 10 and CWE/SANS, by automatically flagging violations in code.

• Reduce technical debt: Detecting security flaws early prevents the accumulation of insecure code, minimizes future rework, and makes applications easier to maintain.

• Support compliance requirements: Many security and privacy frameworks—including PCI DSS v4.0 (mandatory from March 2025), ISO 27001, and HIPAA—mandate secure development practices. SAST provides a concrete way to demonstrate these efforts.

• Scale security reviews: SAST automates parts of the code review process (though it doesn't replace it), allowing organizations to consistently enforce security checks across large codebases and fast-moving development teams.

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The benefits of SAST

SAST reduces remediation costs by catching vulnerabilities when they are cheapest to fix: during development. When implemented effectively, it becomes a scalable, developer-friendly component of your application security program.

• Catch vulnerabilities early when they are easiest to fix: SAST helps teams find security issues during development, before code reaches production. The earlier you catch a vulnerability, the faster and less expensive it is to remediate, especially compared to fixing issues after deployment or following an incident.

• Give developers real-time, contextual feedback: With IDE and version control integrations, SAST surfaces issues the moment there's insecure code. That way, developers can fix issues immediately without interrupting their workflow, learning secure coding practices organically, which reduces the need for rework and boosts security awareness over time.

• Enforce secure coding standards consistently: SAST allows organizations to bake security directly into the development process. It automatically flags violations of internal policies or external frameworks, such as OWASP Top 10 or CWE, so teams can maintain coding standards across every repo and contributor.

• Scale security through automation: SAST fits seamlessly into CI/CD pipelines, running automated scans on every commit, pull request, or build. This ensures continuous coverage across large, fast-moving engineering teams without the need for manual intervention.

• Strengthen compliance posture: Regulatory frameworks like PCI DSS, HIPAA, and ISO 27001 often require evidence of secure development practices. SAST provides auditable proof of proactive risk management at the code level, helping teams stay compliant without slowing down. While it offers valuable evidence, SAST alone isn't enough to demonstrate full compliance.

The limitations of SAST

SAST generates false positives. Because it analyzes code without runtime context, it flags theoretical vulnerabilities that may not be exploitable in your actual deployment environment. Without proper tuning, this noise can overwhelm teams and erode trust in the tool.

Understanding these trade-offs helps teams plan for them:

• Higher false positives: SAST lacks visibility into how code actually runs, so it flags patterns that match vulnerability signatures even when surrounding controls make exploitation unlikely. Left unmanaged, false positives lead to alert fatigue or tool abandonment.

• No visibility into runtime behavior: SAST tools can't see how applications behave in production, so they won't detect runtime-specific issues like race conditions, logic flaws, environment misconfigurations, or abuse of external services. This is why teams need to complement SAST with DAST tools or runtime protection.

• Ongoing tuning and rule maintenance: Using SAST isn't a set-it-and-forget-it solution. Your team should review and refine rules over time to reduce noise, reflect codebase changes, and account for evolving attack patterns. Without ongoing attention, SAST tools risk becoming outdated or overly noisy.

• Limited understanding of context and impact: The typical SAST can't distinguish between a vulnerable piece of code running in a locked-down internal service and one deployed to an internet-facing workload with access to sensitive data. Without cloud or runtime context, your SAST treats findings equally—even when the risk isn't.

To get the most out of SAST, teams need to integrate it thoughtfully, tune it regularly, and combine its insights with tools that offer deeper runtime and cloud visibility.

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Best practices for running SAST effectively

Effective SAST implementation requires more than enabling scans. Teams need to embed scanning into workflows, tune rules to reduce noise, and train developers to interpret results. The following practices help maximize SAST value across implementation, tuning, and team enablement.

Integrating SAST into the SDLC

Scanning code continuously from commit to build to pre-release ensures security is part of the process from the start. A DevSecOps approach embeds security checks into each phase of development, catching issues before they compound into costly production fixes.

🛠️ Action step: Define and enforce security gates within the CI/CD pipeline to trigger scans on incremental scans or pull requests and automatically fail or block merges for critical issues. This prevents suspicious code from moving forward and gives developers immediate feedback.

Evaluating and triaging SAST results

Once you've integrated your SAST tool into your dev lifecycle, create a clear process for triaging your SAST findings. This step helps you resolve the most significant threats and vulnerabilities first, with clear roles, protocols, and responsibilities in place.

One key component of practical evaluation and triaging is reducing false alerts so minor issues don't consume valuable time before your team can address the most critical threats. The right solution, combined with a contextual triage process, helps eliminate noise and keeps your focus on the most urgent and impactful events.

🛠️ Action step: Adopt a solution like Wiz Code that offers contextual prioritization, so your team can focus on the most severe and relevant vulnerabilities first.

Developer training

Who handles vulnerabilities is just as important as which tool you use. As a result, you should train your developers and security team to create secure code and maintain secure practices before and after deployment. Each team member should be able to interpret SAST reports and remediate issues quickly.

🛠️ Action step: Hold training sessions on how to use your SAST tool and run simulations to test for vulnerabilities in your code and security.

Ruleset customization

Once you have the right tool, protocols, and training in place, customize your SAST to work with your tech stack and needs. Use rulesets and checks to identify unique patterns in your code that indicate vulnerabilities and eliminate noisy or irrelevant alerts that waste time and distract from the most severe vulnerabilities.

🛠️ Action step: Consider starting with "monitor" mode rules to study the scanner's behavior, as well as helpful config files like GitLab's sast-ruleset.toml to reduce noisy rules.

Must-have capabilities of SAST tools

The difference between a useful SAST tool and one that creates noise comes down to language coverage, rule accuracy, and workflow integration. When evaluating tools, prioritize these capabilities:

• Language and framework support: Your SAST tool should support the languages and frameworks your team actually uses, including common stacks like Java, Python, C#, and JavaScript.

• Vulnerability detection and rule coverage: Look for comprehensive rule coverage aligned with standards like OWASP Top 10, CWE/SANS Top 25, and PCI DSS. The tool should flag injection flaws, insecure configurations, and authentication vulnerabilities.

• Developer workflow integrations: Your SAST tool should integrate seamlessly within your development workflow. Key integrations include IDE plugins, CLI tools, version control integration, and CI/CD pipeline support.

• Accurate reporting and guidance: Not all SAST tools provide in-depth contextual triage and prioritization. The solution you choose should offer crystal-clear reporting and remediation guidance to help you avoid alert fatigue and focus on the most pressing issues.

• Scalability and performance: A SAST should be able to handle a large code base for incremental scanning, parallel processing, cloud-based processing, and baseline management. It should also have capabilities to help you secure and manage a complex, multi-cloud environment.

What are the most popular open-source SAST tools?

For teams testing SAST or operating in OSS-heavy environments, these free open-source SAST tools offer strong coverage across common stacks:

How you can leverage the Wiz-Checkmarx SAST integration

A SQL injection finding in your codebase means something different depending on where that code runs. Is it deployed to a public-facing service? Does the workload have access to sensitive data? Traditional SAST cannot answer these questions because it operates in isolation from your cloud environment.

Wiz Code bridges this gap by connecting SAST findings to the Wiz Security Graph. This correlation shows which code-level vulnerabilities affect live workloads, which are publicly exposed, and which sit adjacent to sensitive data, allowing teams to prioritize what actually matters.

Wiz's CNAPP integrates leading SAST capabilities, primarily through a partnership with Checkmarx—the only AST provider named a Gartner Customers' Choice every year since 2019—to provide a holistic security environment. Oron Noah, Wiz's head of product extensibility and partnerships, commented on the significance of this kind of integration: "[...] we're helping organizations safeguard their cloud infrastructure and applications with a unified and prioritized view into the cloud vulnerabilities that have the largest impact on their business."

Here's how Wiz and Checkmarx make the difference:

Key features and capabilities

Wiz Code bridges the silo gap by ingesting SAST findings from tools like Semgrep and Checkmarx through the Wiz Integration platform. It then correlates these findings with real-time cloud data in Wiz's Security Graph. This lets teams see which code-level vulnerabilities actually affect live workloads, are publicly exposed, or sit adjacent to sensitive data, allowing them to prioritize what matters.

Whether it's a cookie misconfiguration Checkmarx detects or a logic flaw Semgrep finds, Wiz Code links those issues to the relevant cloud resources, deployment paths, and access identities. This context turns static alerts into actionable, risk-ranked insights. The result is a more complete approach to application security that connects code to cloud, reduces noise, and helps teams remediate the highest-impact risks faster.

Benefits of the integration

The Wiz-Checkmarx integration helps DevSecOps teams cut through noise and focus on exploitable risks:

• See code and cloud together: Correlate Checkmarx findings with attack paths Wiz identifies across your cloud assets, giving you end-to-end visibility from source to production.

• Prioritize based on real risk: Receive alerts with deployment context and priority levels, so you can act on critical issues first and avoid chasing theoretical vulnerabilities.

• Break down security silos: Combine code-level findings with cloud risk analysis in a single view, eliminating the manual correlation work that slows down remediation.

Download Wiz's Secure Coding Best Practices Cheat Sheet to learn more about embedding security into each stage of development.

Or request a personalized Wiz demo to see how you can improve your SAST scanning and security.

Frequently asked questions about SAST