An effective code checker solution will identify flaws, while also giving developers the insights they need to remediate them. This type of data-driven security works in tandem with threat intelligence to improve the overall security posture of your organization.įinally, detecting code security issues is only half the battle. The code checker you use should also leverage a comprehensive vulnerability database to identify security issues at the code level, as well as known vulnerabilities introduced via open source dependencies.Vulnerability databases help developers stay on top of the latest security exploits as they’re discovered, without spending endless hours researching the current cyber threat landscape. STRUCTURAL: Determines whether there are inconsistencies with implementing language-specific best practices and cryptographic techniques.

SEMANTIC: Examines code contextually to estimate what the developer intended, and check whether the code syntax differs.ĭATA FLOW: Tracks the flow of data from insecure sources to ensure it’s cleansed before consumption by the application. The most common types of SAST security analysis are:ĬONFIGURATION: Ensures that application configuration files are following security best practices and policies. A SAST tool also needs to take a comprehensive approach for scanning source code, and be able to combine with linters to check code syntax and style. When it comes to static application security testing (SAST) with a code checker, it’s important to choose a developer-first tool that integrates into developer workflows and produces minimal false positives in scan results. More maintainable code can also improve the customer experience because there are fewer bugs and technical debt to deal with in the future.

This can make a significant impact on the quality and security of code that developers write going forward.

Integrating code checkers into existing developer workflows is a great way to fix code issues earlier, while also helping developers learn about best practices.

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