We’re implementing shift-left security practices for our Trackwise 9.1 compliance module CI/CD pipeline and finding the balance between automation and manual review challenging. Our current setup includes SonarQube for code quality and Snyk for dependency scanning, but we’re debating how much security validation should be automated versus requiring human oversight.
The compliance module handles sensitive audit data and regulatory submissions, so security failures could have significant consequences. We’ve automated dependency vulnerability scanning and container image validation, but some team members argue that automated gates might block legitimate deployments or miss context-specific risks that require expert judgment.
I’m curious how others have balanced automated security controls with manual security reviews in GxP environments. What percentage of your security checks are fully automated versus requiring approval? How do you prioritize which vulnerabilities must block deployment versus which can be tracked for later remediation?
Risk-based prioritization is essential. We categorize vulnerabilities by business impact, not just CVSS scores. A high CVSS vulnerability in a development utility has lower priority than a medium vulnerability in our audit data export function. Automated tools assign initial risk scores, but a weekly security review board adjusts priorities based on actual compliance module usage patterns and threat intelligence. This hybrid approach prevents both over-blocking and under-protecting.
For container image validation, we use Trivy alongside Snyk and enforce policies through OPA. Images must pass vulnerability scans, contain no secrets, and use approved base images from our internal registry. These checks are fully automated with zero manual review. However, we require manual security review for any changes to authentication logic, data encryption, or audit trail functionality. Those areas are too critical for the compliance module to rely solely on automated tools.
Infrastructure as Code security is often overlooked. We scan our Terraform and Kubernetes manifests using Checkov and tfsec before deployment. Automated policy enforcement catches misconfigurations like unencrypted storage, overly permissive IAM roles, or missing backup configurations. For Trackwise compliance infrastructure, these IaC security checks are non-negotiable and fully automated. We’ve had zero manual exceptions in 18 months because the policies are well-defined and teams understand the requirements upfront.