security-audit

To check code changes for leaked secrets and sensitive data exposure, run an automated security audit that performs grep-based detection for hardcoded API keys, tokens, passwords, and verifies missing data masking in your UI.

The best way to automate pull request security checks is to run an automated security audit that identifies unparameterised SQL queries and verifies missing rate limiting on authentication routes before shipping code changes.

Static analysis detects unparameterised SQL queries and prohibited functionality patterns by scanning source files during a code audit, checking for unsafe queries, and verifying type safety to prevent security regressions.

Yes, you can run a security audit on both frontend and backend repositories for an end-of-session review, producing a PASS or FAIL report that includes file locations and recommended remediation steps for detected vulnerabilities.

Automated code auditing works without external dependencies, relying on static analysis and grep-based checks to find hardcoded credentials in source files not protected by environment variables and detect unsafe code patterns.

Your security audit reports FAIL on console leaks and missing data masking because the static analysis checks identify sensitive data exposure in your frontend UI and flag unmasked sensitive fields for immediate remediation.