Comprehensive Review of 32 SAST Tools - The Ones Worth Using
The author tested 32 static application security testing (SAST) tools and shares their findings, including detection rates, false positive rates, scan speeds, and developer experience. They provide recommendations for the best tools in various categories.
Why it matters
This comprehensive review of SAST tools can help organizations choose the right solution for their application security needs, balancing performance, cost, and developer experience.
Key Points
- 1Tested 32 SAST tools, including enterprise platforms and AI-native engines, against real codebases with planted vulnerabilities
- 2Measured detection rates, false positive rates, scan times, and developer trust score for each tool
- 3Identified a handful of newer tools that impressed with AI-powered triage, automated remediation, and natural language policy engines
- 4Provided a quick verdict on the top picks in different categories, such as best overall, enterprise, open-source, speed, C/C++, budget, AI-native, and remediation
Details
The author has been reviewing static application security testing (SAST) tools for the past three years and has experienced the challenges of enterprise scanner deployment, custom rule writing, and dealing with vendor demos that don't reflect real-world performance. This time, they decided to thoroughly test 32 SAST tools, including legacy enterprise platforms and brand-new AI-native engines, against four real-world codebases with planted vulnerabilities. They measured the tools' detection rates, false positive rates, scan speeds, and developer experience, as well as pricing transparency. The results were sobering, with some expensive enterprise tools performing worse than open-source alternatives, and some free tools drowning developers in noise. However, the author also identified a handful of newer tools that impressed with innovative approaches, such as AI-powered triage to reduce false positives by 40%, automated remediation that opens fix pull requests, and natural language policy engines for defining security requirements. The author provides a quick verdict on the top picks in various categories, including best overall, enterprise, open-source, speed, C/C++, budget, AI-native, and remediation.
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