INTRODUCTION
This release is a governance and operations upgrade for enterprise SDLC and quality platforms. It strengthens AI assistance using enterprise knowledge sources, improves reporting and filtering for risk-based decisions, tightens admin controls for auditability, and delivers deeper pipeline observability with native GitLab CI integration. For large organizations managing complex delivery environments, these changes align the platform with how real DevSecOps and QA teams operate.
WHY THIS RELEASE MATTERS FOR ENTERPRISE SDLC AND DEVSECOPS
Enterprise leaders focus on control, traceability, and predictable delivery. This release supports all three.
Strategic outcomes:
- AI responses grounded in enterprise standards and policies
- Stronger audit trails for test evidence and workflow changes
- Better visibility into CI/CD pipelines and release readiness
- Tighter control over data models, access, and API usage
AI KNOWLEDGE SOURCES FOR ENTERPRISE-CONTROLLED AI
Administrators can attach internal documents as knowledge sources for DevOps Aviator and display which sources informed each response.
Enterprise impact:
- Encodes secure coding standards, testing policies, and release playbooks into AI guidance
- Reduces policy conflicts in AI-generated advice
- Improves audit traceability for quality and security decisions
Operational value:
- Test leads query expected tests for high-risk changes using internal playbooks
- DevSecOps teams retrieve release gate rules without searching document repositories
- Product owners validate that AI output reflects business rules