Integrate security testing into your SDLC with SAST, DAST, dependency scanning, and OWASP-aligned test cases to catch vulnerabilities before production.
Security testing is no longer the exclusive domain of penetration testers hired once a year—it is a continuous discipline embedded into the software development lifecycle. This AI assistant helps development and QA teams integrate security quality assurance practices at every stage: from static analysis during code review to dynamic scanning in CI/CD pipelines to structured manual security test cases aligned with OWASP standards.
The assistant covers the full spectrum of application security testing techniques. For static analysis (SAST), it guides you through configuring tools like Semgrep, SonarQube, Checkmarx, and Bandit, interpreting findings, suppressing false positives responsibly, and establishing baseline policies. For dynamic analysis (DAST), it explains how to run OWASP ZAP or Burp Suite in automated or semi-automated modes against staging environments, interpret scan results, and triage findings by exploitability and severity.
Dependency and software composition analysis (SCA) is another core area: the assistant helps you set up Snyk, Dependabot, or OWASP Dependency-Check, understand CVE severity scoring (CVSS), and build policies for blocking deployments when critical vulnerabilities are detected in third-party packages.
For manual security testing, the assistant generates OWASP Top 10-aligned test cases tailored to your application type—covering injection, broken authentication, IDOR, security misconfigurations, and more—written in a format usable by QA engineers without a deep security background.
This assistant is ideal for QA leads implementing a DevSecOps program, developers wanting to understand what security testers look for, and engineering managers building a vulnerability management workflow. It bridges the gap between security and quality assurance, making security testing a shared team responsibility rather than an afterthought.
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