Static Application Security Testing Tools 2026
Static Application Security Testing (SAST) scans source code, bytecode, or binaries for security flaws without running the application, tracing how untrusted data moves through your codebase to flag injection, hardcoded secrets, broken auth, and unsafe API use. It is the white-box counterpart to DAST, and it lives early in the SDLC where fixes are cheapest. Security teams and engineering leaders use SAST to catch vulnerable code patterns in the IDE and pull request before they ever reach a running environment. The hard part is not finding issues; it is finding the real ones without burying developers in noise.
We cover 98 Static Application Security Testing tools, 35 free and 63 commercial.
Accuracy and depth improve over time. Last reviewed Jun 2026. Is something off? Reach out.
FEATURED
USE CASES
AI-powered code cleanup tool that automatically fixes security and quality issues
SAST tool for identifying security vulnerabilities in source code
SAST tool that identifies security and quality issues in source code
AI-powered code review tool providing automated PR feedback and quality analysis
IaC scanner for Terraform, CloudFormation, and Helm misconfigurations
IaC security scanner detecting vulnerabilities and misconfigurations in templates
SAST tool that scans code for vulnerabilities in 30+ languages with CI/CD integration
IaC security scanner that detects cloud misconfigurations in CI/CD pipelines
SAST tool that detects vulnerabilities and malicious code in custom source code
Real-time AI-powered code security tool for IDE vulnerability detection & fix
IDE plugin for SAST and SCA scanning with real-time vulnerability detection
AI-native AppSec platform for code security analysis and vulnerability detection
SAST engine that scans code commits for security vulnerabilities
Full-cycle app security platform with SAST, DAST, MAST, SCA & binary analysis
SAST solution that scans 30+ languages to find and fix code vulnerabilities
Cloud-based SAST platform for code quality and security analysis
Static code analyzer & SAST tool for C, C++, Java, JavaScript, Python, Kotlin
Code quality and security platform with SAST, SCA, and AI-powered remediation
SAST tool that detects logical flaws and business logic vulnerabilities
AI-native SAST tool providing contextual code security analysis in pull requests
AI-powered SAST tool that finds and auto-fixes code vulnerabilities in real-time
A free online tool to scan for DOM-based XSS vulnerabilities in HTML, JavaScript, and CSS files.
Real-time vulnerability detection and automated fixing for AI-generated code
A portable public domain password hashing framework for PHP applications.
How to choose Static Application Security Testing tools
- Confirm deep coverage for the exact languages and frameworks in your stack, not just a long marketing list. Coverage quality varies wildly per language.
- Demand a low false positive rate and tuning controls: custom rules, suppressions, and reachability or context analysis that separate exploitable findings from theoretical ones.
- Check developer workflow fit. IDE plugins, pull request annotations, and CI gating beat a standalone dashboard nobody opens.
- Test scan speed against your real repositories. A scanner that takes hours will get pushed out of the pipeline and run too late to matter.
- Evaluate remediation guidance quality. Findings that explain the data flow and show a concrete fix get resolved; raw rule IDs get ignored.
- Look at standards mapping and reporting (OWASP, CWE, compliance evidence) if you need to satisfy auditors or report risk to leadership.
Articles About Static Application Security Testing
Tool roundups, buying guides, and strategic analysis from the CybersecTools resource library.
Static Application Security Testing Tools FAQ
Common questions about Static Application Security Testing tools, selection guides, pricing, and comparisons.
SAST analyzes an application's source code, bytecode, or compiled binaries without executing it, looking for security weaknesses like SQL injection, cross-site scripting, hardcoded credentials, and unsafe deserialization. It uses data flow and taint analysis to follow untrusted input from entry points to sensitive sinks. Because it inspects code directly, it pinpoints the exact file and line, which makes it well suited to running inside developer workflows.
SAST is white-box: it reads your code and finds flaws in code you wrote. DAST is black-box: it attacks a running application from the outside and finds runtime issues SAST cannot see, like server misconfiguration. SCA scans your dependencies for known CVEs in third-party and open source packages. They overlap very little, so most mature programs run all three rather than picking one.
Start with language and framework coverage for your actual stack, then weigh false positive rate, because a noisy scanner gets ignored. Check how cleanly it fits your pipeline: IDE plugins, pull request comments, and CI gating. Look at scan speed, the quality of remediation guidance, and whether findings map to standards like OWASP or CWE. Run a proof of concept against your own repositories before committing.
Open source scanners like Semgrep CE and language-specific linters cover a lot of ground and are excellent for teams comfortable writing and tuning their own rules. Commercial tools generally add deeper interprocedural analysis, broader language support, managed rule sets, triage workflows, and vendor support. Many teams start with open source, then move to a commercial platform when noise management and compliance reporting become the bottleneck.
Static analysis reasons about all possible code paths without runtime context, so it flags conditions that may never actually occur, like input that is sanitized in a way the analyzer cannot trace. The fix is tooling that supports tuning: suppressions, custom rules, framework awareness, and reachability or context analysis that distinguishes exploitable findings from theoretical ones. Lower noise directly drives developer adoption.
