Our Verdict
Promising AI/LLM security testing for forward-looking teams, but the category and product are both early.
Pros
- Targeted specifically at LLM and AI model threats
- Automated red teaming for prompt injection and jailbreaks
- Academic research backing from Lancaster University
- Covers model, data, and pipeline attack surfaces
Cons
- Young product with limited public case studies
- AI security category itself is still maturing
- Pricing unclear and likely enterprise-focused
- Coverage of proprietary model internals is limited
Best for: Enterprises deploying customer-facing LLM apps and needing dedicated AI red teaming.
Not for: Teams only using third-party APIs without custom AI pipelines or model hosting.
When to Use Mindgard
Good fit if you need
- LLM red-teaming for prompt injection vulnerability detection
- AI model security testing for OWASP ML Top 10 risks
- Jailbreak resistance testing before LLM production deployment
- Adversarial robustness testing for ML model pipelines
- AI security assessment for enterprise LLM use case review
Pricing
Price wrong?Mindgard Pricing
- Pricing Model
- custom
- Free Tier
- No
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Lock-in Assessment
Medium 3/5
Lock-in Score 3/5
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