RunSybil vs GitGuardian
A detailed comparison to help you choose between RunSybil and GitGuardian.
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Verdict: GitGuardian wins
GitGuardian scores 4.2/5, edging out RunSybil at 3.6/5. Engineering and security teams of any size that want secrets detection before code merges — starting free for teams up to 25 developers and scaling to governed, self-hostable remediation on Enterprise.
RunSybil AI-powered automated penetration testing for cybersecurity | GitGuardian Detect and remediate secrets leaked in your git repositories | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $99/mo | Free tier available |
| Best For | Security-serious engineering teams that run pentests on a cadence, want exploit-proven findings against live web apps and APIs without scheduling human testers, and have their own engineers to apply fixes. | Engineering and security teams of any size that want secrets detection before code merges — starting free for teams up to 25 developers and scaling to governed, self-hostable remediation on Enterprise. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api access | free tierteam featuresopen source |
| Visit RunSybil → | Visit GitGuardian → |
RunSybil
Pros
- + Findings are reproduced before delivery with CWE IDs, CVSS scores, request/response evidence, and reproduction steps — validation-first reporting is the product's strongest habit
- + Retest loop works as advertised: apply the fix, re-run, and get a verdict on that finding in under an hour instead of re-booking a human test weeks out
- + Remediation prompts written for autonomous coding agents (Claude Code, Codex, Cursor) closed the gap between finding and fix faster than any report PDF I have handled
- + Black-box default with chaining across auth flows and business logic catches real exploit paths that scanners and BAS tools miss by construction
- + Exceptional founding team (OpenAI's first security hire, ex-Meta red team lead) and $40M from Khosla Ventures with named customers including Cursor, Notion, and Baseten
Cons
- - No published pricing and no self-service signup — evaluation requires a demo and a quote, and competitor analyses call continuous coverage expensive over time
- - Remediation is handed off, not automated: it writes the prompt but does not open pull requests or fix cloud misconfigurations itself
- - My walkthrough stayed on the web/API attack surface — no SAST, dependency scanning, secret detection, or cloud posture, despite broader 'entire stack' homepage claims
- - No signed attestation letter or STRIDE threat model per competitor comparisons (vendor-disputed sources), which weakens the compliance use case
- - Short independent track record: founded 2023, and the claims about coverage breadth outrun what I could verify in the product
GitGuardian
Pros
- + The free tier is genuinely operational: 25 developers, unlimited real-time scanning, and 500 historical scan detections — I found committed test credentials in a small repo within minutes of setup
- + ggshield is open source and installs as pre-commit hook, GitHub Action, or CLI — wiring prevention into a pipeline took me under half an hour
- + Detection honesty: the docs openly describe the precision/recall trade-off instead of promising zero false positives
- + API quota is request-based and documented (10K/month free, 1M on business plans), so CI usage costs are calculable before you automate
- + AI IDE hooks (Claude Code, Cursor, Copilot CLI, VS Code, Codex and others) push prevention to where agents now write code
Cons
- - It does not rotate or revoke credentials — remediation playbooks route incidents to humans; the catalog's 'automated rotation' claim is wrong
- - On the free tier, alert triage is manual: AI risk scoring and false-positive filtering are Growth-only
- - Custom regex detectors are Enterprise-only, so proprietary credential formats need the top tier
- - Pricing for Growth and Enterprise is quote-only with no published rates — hard to budget without a sales call
- - Historical scan caps on free (500 detections, 1 GB repo capacity) mean large legacy repos must pay before seeing their full backlog
Frequently Asked Questions
Which is better, RunSybil or GitGuardian?▼
GitGuardian scores higher at 4.2/5 vs 3.6/5 for RunSybil, making it the better-rated option in our comparison.
What is the difference between RunSybil and GitGuardian?▼
RunSybil: RunSybil runs autonomous offensive security testing against applications, finding exploitable vulnerabilities and filtering out false positives. GitGuardian: GitGuardian scans code, repositories and developer tooling for leaked credentials and helps teams revoke and fix them. It also covers non-human identity governance, and runs as SaaS or self-hosted.
Is RunSybil or GitGuardian more affordable?▼
RunSybil starts at €99/mo, GitGuardian starts at €0/mo. Check the comparison table above for current pricing.
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