The Fastest Path to Meeting OWASP ASVS Guidelines
Jit’s OWASP ASVS Plan automatically implements the security controls needed to fulfill ASVS requirements in your CI/CD pipeline, and centralized monitoring to measure progress.
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“The onboarding to Jit was seamless — all I had to do was give the required permissions, and we immediately had full security coverage.”
Bar Maoist
DevOps Manager at Juno Journey
DevOps Manager at Juno Journey
Introducing Jit’s OWASP ASVS Plan
The OWASP ASVS Plan translates requirements defined in ASVS into specific security controls that fulfill those requirements.
Activate security controls to automatically scan your web app, and configure scans to run periodically or after each deployment.
Scan Java, Javascript, TypeScript, Go, Rust, Python, Scala, C#, PHP, Kotlin, and Swift with Jit.
Monitor and track progress against OWASP ASVS requirements
Measure your ASVS completion progress as you activate controls in Jit that fulfill ASVS requirements.
Monitor all resolved and unresolved findings on a per team, per repo, and per deployment basis to understand the source of issues.
Track DevSecOps metrics like MTTR and exposure window to monitor your team’s performance.
Easily integrate Jit’s DAST into your CI/CD pipeline
Fulfill OWASP ASVS
Many OWASP ASVS requirements can be fulfilled by Dynamic Application Security Testing (DAST), which can be implemented quickly with Jit.
Deploy ZAP-Based DAST
Many OWASP ASVS requirements can be fulfilled by Dynamic Application Security Testing (DAST), which can be implemented quickly with Jit.
DAST Detects Vulnerabilities
Many OWASP ASVS requirements can be fulfilled by Dynamic Application Security Testing (DAST), which can be implemented quickly with Jit.
Automatically prioritize and remediate vulnerabilities
View and filter security findings by team, repo, security tool, severity, and more.
Use Jit Actions to remediate vulnerabilities in bulk by automatically creating PRs that fix groups of vulnerabilities at a time.
Automatically prioritize product security vulnerabilities with Context Engine, which uses ML to analyze runtime context to highlight security issues that introduce the highest risks.