AI & MLOps

Verify how AI and ML are wired into delivery

AI agents, cloud AI services, and ML pipelines are entering CI/CD faster than manual reviews can keep up. KvantumCI verifies configurations, scores posture, and surfaces missing guardrails before merge.

AI agents in CI/CD

Surface AI coding agents, custom agents, MCP tooling, and agentic workflow steps in GitHub Actions, GitLab CI, and Azure Pipelines configs. Score permissions, secret access, and human-in-the-loop patterns.

Cloud AI & Bedrock

Bring cloud-native AI workloads into your verification perimeter—scan AWS agents, detect guardrails, and review AWS Bedrock usage across pipelines.

MLOps & model security

MLSecOps rules and MLflow best practices for model scanning, registry usage, semantic versioning, inference servers, and Nvidia/MLOps tooling detection.

Runtime tools see what’s deployed. KvantumCI verifies how agents, Bedrock, and ML pipelines get wired into CI/CD—and whether guardrails exist before merge.

View verification rules and AI controls in docs →

Explore OmniBOM evidence →