Code analysis is the examination of source code or compiled binaries to find insecure logic, bugs, and risky patterns before they are exploited. It can be static, where tools inspect code without running it, or binary-focused, where analysts study machine code when source is unavailable. Security teams use it to uncover issues such as unsafe memory handling, broken access control, injection paths, hardcoded secrets, and weak cryptography.
In cyber security, code analysis matters because it helps defenders shift left: finding flaws during development is far cheaper than patching them after release. It also supports vulnerability research, reverse engineering, malware detection, and triage of third-party software. Attackers benefit from the same process when they study applications to locate exploitable logic or hidden attack paths. Modern AI-assisted tools can speed up code analysis, but they still require human review to confirm severity, reduce false positives, and turn findings into reliable fixes.