Success Story

The client is an AI-powered cybersecurity solutions provider specializing in cyber supply chain protection, third-party risk management, vulnerability management, and compliance. Its solutions support critical infrastructure organizations, government agencies, and enterprises.

Engagement Duration: 2+ years 
Industry: Software & Hi-tech

The client wanted stronger safeguards throughout the development lifecycle. The key needs included:

1. Detect security defects before code progressed beyond development.
2. Integrate validation into developers’ everyday coding workflows.
3. Add another review layer to uncover complex or cross-file vulnerabilities.
4. Establish reusable controls that could be adopted consistently across projects.

Cybage adopted a shift-left model supported by layered validation. Immediate developer feedback served as the primary control, while automated pipeline scans provided an additional safeguard.

AI-Powered Testing During Code Creation
Developed AI-powered code-scanning skill files to inspect developer-created and AI-generated code. This enabled developers to address vulnerabilities before code entered the CI/CD pipeline.

Advanced SAST and Semgrep Integration
GitLab Advanced SAST and Semgrep were integrated into the CI/CD pipeline to provide an additional layer of automated security scanning.

Standardized Security Foundation
The team packaged the controls as reusable AIDLC components, allowing projects to adopt a consistent setup without rebuilding configurations.

Cybage's cloud modernization and automation delivered the following outcomes:

• ~99.99% of security defects identified during AI-assisted code review.
• Lower risk of vulnerabilities reaching later stages through layered validation across development and CI/CD.
• Faster adoption across projects with reusable AIDLC components.