Head-to-head · Secrets Scanning Software
TruffleHog vs Datadog Secret Scanning
TruffleHog leads on 1 check, Datadog Secret Scanning on 0, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreTruffleHog · 9.2/10
- Free planonly TruffleHog
- Free trialonly Datadog Secret Scanning
TruffleHog scores higher on our rubric for secrets scanning software: 9.2 against 8.8 out of 10; our editors rank them #2 and #5.
TruffleHog offers free plan; Datadog Secret Scanning doesn't.
TruffleHog is the better fit for open-source teams needing deep verification. Datadog Secret Scanning is the better fit for mature managed scanning with enforcement.
- TruffleHog fits best
Open-source teams needing deep verification
- Datadog Secret Scanning fits best
Mature managed scanning with enforcement
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Side by side
| Feature | TruffleHog 9.2/10 Visit ↗ | Datadog Secret Scanning 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.8 |
| Ranking | #2 in Secrets Scanning Software | #5 in Secrets Scanning Software |
| Best for | Open-source teams needing deep verification | Mature managed scanning with enforcement |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | $15/user/mo |
| Free plan | ✓ (best) | — |
| Free trial | — | 14 days |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Windows, macOS, Linux | Web |
| Support | Community, Docs | Live chat, Email, Community, Docs |
| Compliance | SSO/SAML | SSO/SAML, 2FA |
| Integrations | 22+ integrations | 5 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features TruffleHog 5/5 · Datadog Secret Scanning 5/5 | ||
| CI/CD scanning | ✓ | ✓ |
| Pre-commit scanning | ✓ | ✓ |
| Pull-request scanning | ✓ | ✓ |
| Push protection | ✓ | ✓ |
| Custom detection rules | ✓ | ✓ |
| Specs | ||
| Supported VCS | GitHub, GitLab, Git, Bitbucket, Gerrit, Azure Repos | GitHub, GitLab, Azure DevOps |
| Repository limit | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | TruffleHog is an open-source secrets-scanning tool for developers and security teams. It searches repositories, version history, files, containers, and connected sources for credentials such as API keys, passwords, and tokens. Its core… Read the review → |
Datadog Secret Scanning detects exposed API keys, tokens, passwords, and encryption keys in source code and configuration files. It is designed for development, security, and DevOps teams that need managed scanning across repositories and… Read the review → |
Strengths and trade-offs
TruffleHog — where it wins
- Classifies more than 800 secret types and verifies active credentials
- Scans history, branches, pull requests, files, containers, and connected sources
- Supports CI/CD, pre-commit, pre-receive, remediation, and credential tracking
Where it doesn't
- Enterprise capabilities require a contact-sales process
- Deployment is focused on Linux and self-hosted environments
- Permission analysis applies to supported credentials rather than every finding
Datadog Secret Scanning — where it wins
- Scans repositories, CI/CD pipelines, pull requests, and pre-commit activity
- Blocks merges with pull-request gates and supports local pre-commit blocking
- Connects GitHub, GitLab, Azure DevOps, and Jira workflows
Where it doesn't
- No free plan; access starts with paid pricing
- Annual billing is required for the $15 per committer monthly rate
- The product is offered through a web platform rather than desktop or mobile apps
- TruffleHog9.2/10 · Free plan
Deep secret detection and credential verification for development and security teams.
Visit TruffleHogFull verdict → - Datadog Secret Scanning8.8/10 · 14-day trial
A mature managed scanner with broad enforcement, priced from $15 per committer monthly.
Visit DatadogFull verdict →
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All secrets scanning software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





