A security check is a separate class of work rather than a stricter code review. There are two managed types: a reviewer checks changes before merging, while a scanner regularly walks the codebase at rest. Both run on top of cloud agents and automations, and both need at least one tool or external server - to deliver a result or gather extra context. The difference from an ordinary review lies in the question put to the code: not whether it is written correctly, but what can be done to it from the outside.
The difference between the two types is not strictness but the moment and the subject. The reviewer looks for new vulnerabilities that arrive with a change: a fresh permission check, a new way of building a query, a new entry point, a new place where user data lands where it was not expected. The scanner looks for what already lives in the code unnoticed - including what was missed on the way in and became a problem later, when other code appeared next to it. One looks at the delta, the other at the state; neither replaces the other.
A local check adds a third moment - before pushing. By default it compares all the branch's changes, including uncommitted ones, with the base branch. If the base is different or only the working tree is of interest, that is stated explicitly. A small thing, but it is exactly what causes confusion: a person expects a check of the latest commit and gets an analysis of the whole branch, including what they considered long since settled.
It helps to lay the three options out in a table once: what triggers each and what it is for. Below is that map. It also reminds you about availability: local review commands appeared in specific versions and on specific surfaces, and part of the command-line support may be announced as coming. That is the case where a capability is worth checking in your own environment before building a process on it.
| Check | What triggers it | Purpose |
|---|---|---|
| Security reviewer | Pull request events | New vulnerabilities before merging |
| Vulnerability scanner | A schedule | Existing and previously missed problems |
| Local check | Manual run before pushing |
| Early feedback on the current branch |
The requirement of at least one tool for managed checks looks like a formality, but a sound idea stands behind it: a finding with nowhere to land does not exist. A check must be able either to leave its result where it will be seen, or to reach the context without which its conclusion would be wrong - a tracker, an issue system, an internal source of knowledge about services. So delivery is designed together with the check itself rather than afterwards: the recipient, the format, and what happens to a finding if the recipient is unavailable.
The most important part of working with findings is not the search but the lifecycle. You need severity definitions, an owner for every finding, a response deadline, a procedure for deliberate exceptions and confirmation that a fix really closed the problem. Without that a stream of findings turns into background noise: it exists but influences no decisions. A list that only grows stops being read about as fast as a log with the debug level left on.
The exception procedure deserves separate attention, because it is usually the part nobody sets up. Some findings will be wrong, and some will be right but inapplicable in your context. If such cases have nowhere to go, they are simply ignored in silence, and a month later everything is being silently ignored. An explicit exception with an author, a reason and a review date is cheap and makes behavior honest: it is visible that a decision was made rather than forgotten. The sign that no such procedure exists is simple - the same finding comes back in every run, and every time someone reads it anew.
The assessment of whether a finding has been fixed deserves separate mention. An automatic estimate is useful for analytics: it shows dynamics and helps with planning. But critical findings must be closed by a human or a security process - because confirming a fix is exactly the part where the cost of a mistake is highest. An automatic mark of fixed in fact means looks fixed, and the difference between those two wordings is measured in incidents.
The engineering conclusion is simple: security agents give coverage but not a process. They find candidate problems, and then ordinary work begins: prioritization, owners, deadlines, exceptions and confirmation. They are worth adopting together with that process, otherwise a month later you will have a long list of findings and no change in your security posture.
The typical failures are predictable. Treating a security check as a kind of code review. Expecting a local command to analyze one commit when it looks at the whole branch. Deploying a scanner without owners and deadlines. Setting up no exception procedure and getting silent disregard instead. And closing critical findings with an automatic estimate instead of a human.