Vooda AI

Vooda AI is a secrets detection and security intelligence platform that looks for exposed credentials, API keys, and sensitive data across a technology stack. It checks whether credentials remain active and identifies accessible repositories, buckets, databases, and IAM policies. Its detection engine combines 942 provider-specific rules with entropy analysis, base64 decoding, structured-file parsing, and configuration-assignment detection. It scans code and more than 23 non-code sources, including collaboration tools, cloud storage, containers, Postman, and CI/CD logs, and verifies credentials against more than 250 provider APIs. AI confidence scores, team decisions, and suppression of known false positives help triage findings. Remediation features include provider-specific rotation playbooks and pre-filled pull requests. CI/CD options include a GitHub Action, GitLab CI template, container image, pre-commit scanning, and CI gating. Vooda supports custom detectors, compliance mappings, and enterprise access controls. Deployment options include on-premise and self-hosted use; the self-hosted guide describes air-gapped use with a local AI model and outbound verification disabled. The self-hosted plan is listed as free and requires Docker.

Vooda AI combines broad scanning with live credential verification and remediation workflows. Teams should consider the Docker requirement for self-hosting and the outbound verification tradeoff for air-gapped deployments.

Vooda AI suits teams that need to find and verify exposed secrets across code and non-code sources. Its self-hosted option may suit organizations that want to run it on their own infrastructure, including in an air-gapped setup.

Vooda AI is a secrets-scanning and security intelligence platform for organizations that need to find exposed credentials across code and connected services. It best suits teams that want to verify active secrets and trace their potential access. Its free self-hosted plan is unusually broad, but Docker is required and air-gapped use disables outbound verification.

Overview

Vooda scans full Git history as well as more than 23 non-code source types, including collaboration platforms, cloud storage, Docker images, Postman, and CI/CD logs. That wider coverage is useful when credentials may surface outside repositories, though it also makes Vooda a better fit for teams prepared to connect and manage scans across multiple systems.

The platform maps findings to frameworks including SOC 2, PCI-DSS 4.0, ISO 27001:2022, NIST 800-53, HIPAA, GDPR, OWASP Top 10, CWE Top 25, and CAPEC. Those mappings can help security teams organize findings against familiar controls. Vooda supports on-premise deployment and says it requires no agents; connection credentials are encrypted at rest and remain within the customer tenant.

Key features

Detection and verification

Detection combines 942 provider-specific rules with Shannon-entropy analysis, base64 decoding, structured-file parsing, configuration-assignment detection, and custom detectors. This range gives teams multiple ways to surface secrets in different formats, while severity overrides, allowlists, and suppressions help tailor results to their environment.

Vooda checks credentials in real time against more than 250 provider APIs. Its AI assigns confidence scores, learns from accept-or-dismiss decisions, and suppresses known false positives. Vooda Radar goes further by checking active secrets, identifying accessible repositories, buckets, databases, and IAM policies, and assigning an impact score from 0 to 100. For teams prioritizing response by likely reach, this connects a discovered credential to a view of what it may expose. Air-gapped deployments can use a local AI model, but must disable outbound verification and therefore lose live credential checks.

Scanning and remediation

Listed integrations include GitHub, GitLab, Bitbucket, AWS S3, Slack, Jira, Jenkins, CircleCI, Microsoft Teams, ServiceNow, Notion, and Confluence. GitHub Action, GitLab CI template, and a container image support CI/CD setups; pre-commit scanning and CI gates can catch secrets earlier in the development process. Vooda also generates provider-specific rotation playbooks and pre-filled pull requests to remove secrets from code, giving teams a more direct path from finding to remediation.

Pricing

Vooda's Self-hosted plan costs free and permits production use at any company size with no seat limits. It includes GitHub, GitLab, and Bitbucket support, CI/CD scanning, pre-commit scanning, pull-request scanning, push protection, and custom detection rules. The main qualification is operational: running it requires Docker. The plan is a strong fit for organizations able to host and maintain the deployment; teams that do not want that infrastructure requirement should weigh it carefully.

Platforms

Vooda supports API, Linux, macOS, self-hosted, web, and Windows environments. Its self-hosted guide also supports air-gapped operation with a local AI model, provided outbound credential verification is disabled.

Who it's for

Vooda is suited to security and engineering teams that need secrets coverage across code, collaboration tools, and infrastructure, especially when verifying whether credentials remain active and understanding their potential reach are priorities. Its CI/CD options also suit teams that want to scan during development. It is less compelling for air-gapped organizations that depend on live verification, or teams unable to accommodate Docker for self-hosting.

Pros and cons

• Pros: Live checks against more than 250 provider APIs help distinguish active credentials from findings that no longer work.
• Pros: Radar's access enumeration and impact scoring help teams assess potential consequences, not just locate a secret.
• Pros: The free production plan has no seat limits and includes CI/CD, pre-commit, pull-request, and push-protection capabilities.
• Cons: Self-hosting requires Docker, so the free plan is not a no-operations option.
• Cons: Air-gapped mode requires outbound credential verification to be disabled, removing live checks.

Alternatives

Secrets Scanning Software is a useful starting point for comparing options in this category. Consider Amazon Deequ if an open-source library is a better fit; it requires Apache Spark, and its release must match the Spark version. Semgrep Code offers a free edition with Code and Supply Chain for up to 10 repositories, a maximum of 10 contributors, and 60 AI credits. Arnica Secrets Security has a free plan and free trial, with its free offering bundling secrets scanning with SAST, SCA, IaC, licensing, reputation scans, SSO, and custom capabilities.

Augustus is another free, Apache 2.0-licensed open-source option. DeepSource offers an Open Source plan with unlimited public repositories and team members, alongside 1,000 pull request reviews. Endor Labs provides individual developers free local scans through its AURI MCP server, without an account. ggshield is an alternative whose CLI is open source, while the secrets detection library behind GitGuardian’s public API is closed source. GitGuardian offers a Starter plan for up to 25 developers, with unlimited real-time scanning, up to 500 historical scan detections, and 10K API calls.

Verdict

Choose Vooda AI if your team wants broad secrets coverage, live credential verification, and an impact view with remediation support, and can run Docker for self-hosting. Look elsewhere if air-gapped operation must retain live checks or if self-hosted infrastructure is not practical.