ByteHide Secrets vs DeepSource

ByteHide Secrets pairs secret scanning with centralized management for sensitive values. Its scanner searches source code, compiled binaries, repositories, and commit history, and can run locally or in CI/CD pipelines, including pull-request scanning. Listed targets range from API keys and cloud or database credentials to certificates, SSH keys, Kubernetes secrets, and infrastructure-as-code secrets. ByteHide says its machine-learning detection is intended to find secrets while limiting false positives; its documentation says scanning stays local and source code does not leave the user's environment.

For managing values, the product supports separate development, staging, and production settings, role-based access, audit logs, and SDK integration. ByteHide Vault provides encrypted, versioned storage, rollback, a local encrypted vault for isolated setups, cloud syncing, and scheduled credential rotation. Listed safeguards include encryption in transit and at rest, a zero-knowledge architecture, IP allowlisting, custom headers, and two-factor authentication. Integrations include GitHub, GitHub Actions, Azure DevOps, AWS, Jenkins, GitLab CI, Webpack, and Vite. It runs on API, Linux, macOS, self-hosted environments, web, and Windows. The free plan is free, with up to 2,000 secrets and no credit card required; a 14-day trial is also listed.

DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.