Secure Code Review and Application Security
Static Code Analysis (SAST)
We integrate static code analysis into your development process and adjust its rules for your code. Your developers focus on real vulnerabilities, not noise.
What it is
SAST is automated analysis that examines code without execution. It models data flow in the code and searches for known vulnerability patterns such as injection. With default rules, it can generate many false positives, causing teams to ignore results. Value comes from tuning rules to your frameworks and triaging findings.
Scope
- Tool selection for your languages and frameworks or assessment of your existing tool
- Teaching the analysis your own validation and sanitization functions
- Triage and prioritization of the existing backlog of findings
- Turning mistake patterns found in manual review into custom rules
- A baseline so developers see only findings in new code
The need
When organizations need it
- When your tool's list of findings grows and teams stop reviewing them.
- When you move to a new language or framework and existing rules do not recognize it.
- When an audit requires you to show how code is reviewed with each change.
Method
How we work
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Assessment
We review your current tool, rule set and latest scan results.
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Tuning
We adjust the rules to your frameworks and teach the analysis your security functions.
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Triage
We separate findings into real vulnerabilities and false positives, and prioritize the real ones.
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Maintenance
We assign an owner for the rule set and define how new false positives are reported.
Outcome
What you have at the end
You have a rule set tuned to your code and a triaged list of findings. Your developers see only alerts for their new code that are likely to be real.
Frequently asked questions
Which SAST tool do you recommend?
The recommendation depends on your languages, frameworks and development platform. If you already have a tool, we first recommend tuning it properly.
Does SAST replace manual code review?
No. SAST quickly finds known patterns across a large codebase. Authorization and business logic flaws require an expert who understands the code's intent.
Will false positives disappear completely?
Not completely. The goal is to reach a level where developers trust the alerts and can quickly mark any remaining false positives.
Secure Code Review and Application Security
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