Our biggest release yet. Atlas brings search and observability across your whole organization, alongside a GitHub App for enterprise orgs, Chain Analytics, CI/CD BOM in OmniBOM, the open-source KvantumCI CLI, and a new fuzz testing rule. Explore the full Atlas release →
New features
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Atlas: search & observability
A search and visibility layer across everything KvantumCI knows about your organization.
- Search: Find projects, dependencies, pipeline commands, CI/CD tools, findings and recommendation snippets. For example, every project that runs
npm install, depends on React, or runs Trivy in CI.
- Filter: Narrow results by project, provider, tool, severity, status or owner.
- Observe: See how tool usage, dependencies and exposure spread across the organization.
- Availability: Included on all plans.
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GitHub App
Connect a whole GitHub organization with one install. Built for enterprise orgs.
- Org-wide install: Install once and grant access to all repositories or a selected set.
- No personal tokens: Scoped app permissions instead of personal access tokens.
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KvantumCI CLI (open source)
The platform from your terminal, scripts and CI.
- Platform access: Work with projects, repositories, integrations, verifications, BOMs and findings from the command line.
- CI gate:
results summary --fail-on-findings exits non-zero when a verification has failed outcomes.
- Agent-safe scope: No deletes, credential writes or admin changes.
- Agent skill: The repository includes an installable skill that shows coding agents how to use the CLI.
New rule sets for GitHub Actions and Argo CD, a build determinism check for reproducible pipelines, bulk repository import, and per-repository analytics. Explore the full Convergence release →
New features
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Bulk repository import
Onboard your whole organization in one pass instead of adding repositories one at a time.
- Import sources: Import from a JSON or CSV file, or connect a named integration.
- Guided wizard: A UI wizard walks you through selecting and importing many repositories at once.
- Import filtering: Narrow the candidate list by repository name, branch, language, last activity, owner, and more before you commit.
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Repository analytics & scan progress
See what's happening, repo by repo, run by run.
- Repository-scoped analytics: Analytics broken down per repository.
- Scan progression indicator: Track a verification run's progress in real time.
- UI overhaul and broader UX improvements: Easier day-to-day verification across the platform.
Rule engine
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GitHub Actions verification & security
A new rule set for workflow verification scanning and security checks in GitHub Actions pipelines.
- New rule set: Dedicated coverage for GitHub Actions workflows.
- Security scanning: Surfaces permissions, secrets usage, and unsafe patterns before production.
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Argo CD rule set
A new rule set for GitOps verification and Argo CD best-practice checks.
- New rule set: Validates GitOps configs and Argo CD deployment practices.
- Delivery pipeline coverage: Strengthens security posture across Kubernetes GitOps estates.
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Build determinism
A build that resolves different dependency versions on every run can't be trusted or reproduced — and that's a supply-chain risk, not just a quality issue.
- New rule: Flags non-deterministic install commands (e.g.
npm install) in CI configs.
- Deterministic alternative required: Confirms that reproducible, lockfile-respecting commands (e.g.
npm ci) are used instead.
- Drift detection: Reduces exposure to silent dependency drift between builds of the same pipeline.
- Stronger provenance: Strengthens the guarantee that what was scanned is what actually shipped.
Verification expands to AWS and the ML supply chain, with a sharper rule engine and scale for the biggest organizations. Explore the full Overworld release →
New features
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AWS support
Bring cloud-native AI workloads inside your verification perimeter.
- AWS agent scanning: Detect and review agents running on AWS.
- Guardrails detection: Surface guardrails configured for AWS workloads.
- AWS Bedrock review: Review Bedrock usage across your pipelines.
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Model security & MLSecOps
Security for the ML supply chain, built for DevOps teams.
- MLSecOps rules: New rules and MLflow best practices.
- Model security: Model security brought to DevOps teams.
- New technology detections: Broader coverage across the ML stack.
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UI improvements
A clearer read on every run.
- Readability: UI improvements for better readability.
- Run statuses: New statuses for verification runs.