Vooda AI

Vooda AI is a secrets-detection platform for teams that need to find exposed credentials across code and connected services. It is best suited to security teams that want to establish whether a secret still works and understand its potential reach. Its breadth and remediation tools are compelling, but air-gapped operation gives up live credential verification.

Overview

Vooda scans full Git history and more than 23 kinds of non-code sources, including collaboration tools, cloud storage, Docker images, Postman, and CI/CD logs. That reach matters when credentials can escape repositories into the services a team uses around them. Compliance mappings cover frameworks including SOC 2, PCI-DSS 4.0, ISO 27001:2022, NIST 800-53, HIPAA, and GDPR, giving teams a way to relate findings to familiar requirements.

Deployment supports on-premise use without installing agents. The self-hosted guide also supports air-gapped operation with a local AI model, but requires disabling outbound credential verification. That preserves isolation at the cost of knowing whether a discovered credential is still active.

Key features

Detection and triage

The detection engine combines 942 provider-specific rules with Shannon-entropy analysis, base64 decoding, structured-file parsing, and configuration-assignment detection. Custom detectors, severity overrides, allowlists, and suppressions give teams room to tune coverage to their environment. Vooda also checks credentials in real time against more than 250 provider APIs. AI confidence scores, learning from accept-or-dismiss decisions, and suppression of known false positives are intended to help teams prioritize findings rather than treat every match alike.

Impact and remediation

Vooda Radar checks active secrets, enumerates accessible repositories, buckets, databases, and IAM policies, then assigns an impact score from 0 to 100. That adds a useful view of potential reach beyond the initial detection. Provider-specific rotation playbooks and pre-filled pull requests to remove secrets from code give teams concrete remediation paths; the pull requests are specifically for code removal, not a claim that rotation itself is automated.

Workflow and integrations

GitHub Actions, a GitLab CI template, and a container image for Jenkins, CircleCI, or other runners support CI/CD use. Pre-commit scanning and CI gating can catch issues earlier in the development workflow, while push and pull-request scanning extend protection across common code changes. Listed integrations include GitHub, GitLab, Bitbucket, AWS S3, Slack, Jira, Jenkins, CircleCI, Microsoft Teams, ServiceNow, Notion, and Confluence.

Pricing

The Self-hosted plan costs nothing and is intended for production use at any company size, with no seat limits. It includes GitHub, GitLab, and Bitbucket support, CI/CD and pre-commit scanning, pull-request scanning, push protection, and custom detection rules. For organizations that can run Docker, the lack of seat limits makes it a notably open starting point. Docker is a real deployment requirement, and teams needing air-gapped use must accept disabled outbound credential checks.

Vooda is freemium, and the Self-hosted plan is the priced plan described here. No paid-plan price or terms are given.

Platforms

Vooda lists API, Linux, macOS, self-hosted, web, and Windows support. On-premise deployment and no-agent operation may suit teams reluctant to install scanning agents, while Docker is required for the free self-hosted plan.

Who it's for

Vooda is a strong fit for security teams that need broad source coverage, live credential validation, impact assessment, and actionable cleanup within development workflows. Its compliance mappings and enterprise access controls—SAML 2.0, Okta, Azure AD, Google Workspace SSO, role-based access control, and immutable audit logs—also suit organizations with formal security processes. The site advertises 24/7 support and a four-hour SLA. Teams that cannot use Docker or that require isolated operation without sacrificing live checks should look elsewhere.

Pros and cons

• Pros: Live checks against more than 250 provider APIs and Radar's access mapping help distinguish a working credential from a low-impact match.
• Pros: Coverage across code and 23+ non-code source types, plus CI/CD and pre-commit options, reaches beyond repository-only scanning.
• Pros: The free production plan has no seat limits and includes custom rules, push protection, and pull-request scanning.
• Cons: The free self-hosted plan requires Docker, which adds an operational prerequisite.
• Cons: Air-gapped use requires disabling outbound verification, removing the live-check advantage.

Alternatives

Endor Labs is worth considering for individual developers who want free local scans through its AURI MCP server without an account; its Developer plan has no UI or policies. Choose ggshield if an open-source CLI is the priority, noting its detection library is closed source. GitGuardian is another freemium option with a Starter plan that includes up to 25 developers and unlimited real-time scanning, with a historical scan detection cap.

HashiCorp Nomad is another freemium option. Semgrep Code may suit teams seeking code and supply-chain coverage in a free edition capped at 10 repositories and 10 contributors. For free alternatives, consider Betterleaks, Gitleaks, or Kingfisher.

Browse the Secrets Scanning Software directory for more options.

Verdict

Choose Vooda AI if your security team needs to scan beyond code, validate credentials live, and connect findings to impact and remediation without per-seat limits on the free production plan. Look elsewhere if Docker is impractical or air-gapped deployment must retain outbound credential verification.