Source code scanning is automated analysis of a program’s source files to find security weaknesses before software is shipped. It can be done by static analysis rules, pattern matching, data-flow tracking, or AI-assisted review. Unlike runtime monitoring, it examines the code itself, so it can flag issues early in development.
This matters because many serious vulnerabilities are easier to prevent than to patch later. Scanners can catch hard-coded secrets, unsafe deserialization, injection paths, memory-safety bugs, and logic flaws before they reach production. In real defenses, source code scanning is built into CI/CD pipelines so every commit is checked, findings are triaged, and duplicates are removed. In attacks, threat actors benefit when software is shipped with missed flaws; a weak scan or noisy results can leave exploitable bugs undiscovered. Good scanning is therefore about accuracy, coverage, and fast handoff to human review.