Shadow AI Detection in CI/CD Pipelines

Block unauthorized AI libraries and API calls containing sensitive data before they are committed to your codebase. This eliminates the primary vector for shadow AI data exfiltration, protecting intellectual property and regulated customer information.

Automate compliance with internal AI usage policies and external regulations (GDPR, HIPAA, EU AI Act) by defining security rules as code. This ensures consistent enforcement across all development teams and eliminates manual review bottlenecks.

Provide developers with immediate, actionable feedback on AI security violations within their existing pull request workflow. This shifts security left, reducing remediation time from weeks to minutes and maintaining development velocity.

Automatically generate a real-time, centralized inventory of all AI dependencies—sanctioned and unsanctioned—discovered across every code repository. This creates the single source of truth required for effective AI Security Posture Management.

Scan for and block malicious or vulnerable AI packages from public repositories (like PyPI, Hugging Face) before they become part of your application's supply chain. This mitigates a critical attack vector for model poisoning and backdoors.

Generate auditable reports that quantify shadow AI risk exposure and map violations to specific teams, projects, and cloud accounts. This provides the data-driven evidence needed for governance reporting and AI-SPM integration with SIEM/SOAR.

We conduct a comprehensive audit of your CI/CD toolchain (Jenkins, GitLab CI, GitHub Actions, etc.) to identify all entry points and dependencies. This creates a baseline map for targeted security gate insertion.

Our engineers codify your AI usage policies into executable security rules. This includes blocklists for unauthorized AI libraries (e.g., unofficial PyTorch forks), API endpoint denylists, and model hash validation.

We embed lightweight scanning agents directly into your pipeline stages—primarily at the dependency resolution and build phases—to analyze code, package manifests, and container images in real-time.