Giskard vs Mindgard
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Giskard
Open-source LLM red teaming, now with an EU guardrail layer.
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Mindgard
AI red-teaming platform
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| RECATOOLS Score | 7.8 / 10 | 7.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Enterprise |
| Free tier | Full open-source Python library (Apache 2.0), free forever, no usage caps | — |
| Paid from | Enterprise Hub: custom pricing (contact sales); no public per-seat rate | — |
| Has API | ✓ | ✗ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✗ |
| Users | Thousands of developers (OSS); enterprise clients incl. AXA, BNP Paribas, Michelin | — |
| Founded | 2021 | 2022 |
| Maker | Giskard AI (independent) | — |
| Verdict | Giskard's free, Apache 2.0 scanner (5,200+ GitHub stars) covers 50+ adversarial attack types mapped to OWASP, MITRE ATLAS and NIST — genuinely rare generosity in AI security tooling, where most competitors gate everythin... |
Mindgard is a specialist automated AI red-teaming and DAST-for-AI platform, spun out of Lancaster University, that tests LLMs, agents, and multimodal models against thousands of attack scenarios (prompt injection, jailbr... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.