What Is SAST? Static Analysis in the Age of AI-Generated Code

Static Application Security Testing (SAST) is a white-box security method that examines source code, bytecode, or binaries for vulnerabilities without running an application, allowing teams to identify issues early in development. Using techniques such as abstract syntax trees, data-flow analysis, and taint tracking, SAST can detect recognizable flaws including SQL injection, cross-site scripting, hardcoded secrets, buffer overflows, and weak cryptography, though it is less effective at finding business-logic and access-control problems such as insecure direct object references. It complements Dynamic Application Security Testing, which examines a running application externally, and Software Composition Analysis, which identifies known vulnerabilities in third-party dependencies. Traditional rule-based SAST can generate substantial false positives and miss vulnerabilities because it may not determine whether risky code is reachable or exploitable; reachability analysis and evidence-based remediation aim to reduce this noise by tracing executable paths and supplying contextual proof and recommended fixes. The text also describes AI-assisted SAST as an emerging approach that can reason about code context, potentially improve detection of logic flaws, reduce false alarms, and help review increasing volumes of AI-generated code. Effective adoption involves assessing accuracy, language and build-system coverage, workflow integration, and remediation quality, then beginning with a limited repository scope and measuring false-positive rates and time to fix before scaling.

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