Security in the codebase
Assess source code, dependencies, infrastructure definitions and exposed secrets.
Evaluate source code, dependencies and running applications so teams can fix meaningful security weaknesses before they become business problems.
Not every client needs every module. The work begins with your environment and the terms available for the selected service.
Review source code and selected execution paths for vulnerabilities before software runs in production.
Inspect application dependencies for known issues while considering reachability and practical exposure.
Find selected exposed credentials, keys and configuration risks in repositories and development artifacts.
Review eligible infrastructure configuration files for insecure cloud and deployment settings.
Assess supported container artifacts for relevant package and configuration risk where included in the deployment.
Surface findings during the developer workflow and record remediation as code changes are made.
Scan authorized running web apps and APIs to identify weaknesses observable only in deployed behavior.
Provide prioritized context and supported fix recommendations, then re-evaluate affected code or application paths.
Developers get useful findings with context instead of a wall of unexplained alerts.
An unsafe dependency, leaked secret or vulnerable code pattern can travel from a repository into a production application.
Analyze eligible code and dependencies, validate relevant findings, and guide developers toward practical remediation and retesting.
Understand our response methodA software team opens a pull request that introduces an exposed secret and a vulnerable dependency. Development-time checks may catch both, while dynamic application testing assesses behaviors visible only after deployment.
Source code review, dependency analysis and dynamic testing answer different questions. Together they help development teams identify meaningful issues before and after code is released.
Clear expectations are useful before any configuration begins. These are the questions clients commonly need answered.
Static application security testing examines source code for patterns associated with security weaknesses. Dependency analysis reviews third-party packages, and dynamic testing checks how a running application responds to carefully scoped test requests. Using more than one method provides different kinds of evidence.
Findings should be reviewed in context, considering where the affected code runs, what data or privileges it can access, and whether an attack path is actually reachable. Confirmed, high-impact problems can then be prioritized for remediation and retesting.
Repository access, data-handling requirements and deployment options should be agreed before connecting sensitive code.
Engagement steps and responsibilities depend on the scope agreed with each client.
Agree requirements and the systems in scope.
Configure services with the required permissions and prerequisites.
Validate the relevant workflow and document responsibilities.
Review outcomes and improve as appropriate.
A useful service description explains what it changes, what a team must decide, and what must be tested.
Assess source code, dependencies, infrastructure definitions and exposed secrets.
Use authorized dynamic testing where supported; source code review is not the same as runtime testing.
Validate risk, plan fixes with developers and check whether meaningful issues were resolved.
Important scope consideration
Automated scanning helps find classes of weaknesses, but cannot prove software is free of vulnerabilities.
Tell us what you operate and what concerns you most. Get a tailored conversation about scope and priorities.
Concrete questions to resolve before selecting or deploying this service.
set access policies, data handling, scanning scope and appropriate source-code privacy controls.
review direct and transitive packages and reachability or exploit context where supported.
authorized DAST or penetration testing may be separately licensed or scoped.
prioritize findings, enable CI/CD integration and track remediation verification.
Plain-language answers and important service boundaries.
No. Automated scanners and human-led testing serve overlapping but different purposes.
Not every organization develops software. Identity, procurement and configuration controls may be more relevant.