Mindgard
Mindgard: A broad AI risk platform spanning discovery, testing, protection, and remediation. Ranked #3 of 29 in AI Security Testing Tools by our editors (9.0/10); pricing: Pricing on request; best for enterprise AI risk and remediation programs.
At a glance
- Editor score9.0 / 10
- PricingPricing on request
- Best forEnterprise AI risk and remediation programs
- Prompt injection testsYes
- Founded2022 · Boston, Massachusetts, United States, and London, United Kingdom
- Facts checked21 Sep 2026

Where it wins
- Automated red-team testing for models, agents, and applications
- Runtime protection with policy enforcement and remediation workflows
- Integrations across Burp Suite, CI/CD, SIEM, IDEs, and ticketing
Where it doesn't
- Pricing requires contacting sales
- Its listed platforms are limited to web and API
- The broad feature set may exceed narrower testing needs
Our verdict on Mindgard
Mindgard is an AI security platform for organizations assessing and defending models, agents, applications, and workflows. It supports AI attack-surface discovery, asset inventory, automated red-team testing, runtime protection, reporting, and remediation validation. Security, red-team, engineering, and enterprise AI teams can use it to examine prompt injection, jailbreaks, data exfiltration, sensitive-data exposure, and unsafe outputs across AI systems.
The published pricing model is contact sales, so Mindgard is oriented toward an evaluation process rather than a self-serve purchase. Its scope covers discovery, testing, custom adversarial dataset generation, policy enforcement, remediation workflows, retesting, AI risk reporting, and standards mapping. That breadth suits organizations building an ongoing AI risk program, especially where testing needs to connect with remediation and later validation. Teams seeking a narrowly focused test utility or an immediately visible plan comparison may prefer a simpler alternative.
Mindgard’s operational fit is strengthened by integrations with Burp Suite, CI/CD pipelines, IDE hooks, SIEM platforms, ticketing systems, and REST APIs. These connections support security testing and workflow handoffs across development and security environments. Deployment covers both listed modes, while the product is available through web and API platforms. It is a strong fit for enterprise teams that need discovery, adversarial testing, runtime controls, and reporting in one program. Organizations that only need standalone prompt-injection checks, or that require a publicly listed price, should consider a more focused option.
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Mindgard pricing
Mindgard fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Prompt injection tests | Yes |
| Jailbreak tests | Yes |
| Data leakage tests | Yes |
| Unsafe output tests | Yes |
| Custom test cases | Yes |
| Deployment mode | Both |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, 2FA |
| Support | Email, Phone, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: CI/CD pipelines, IDE hooks, SIEM, ticketing systems, Burp Suite, REST APIs |
| Pricing | Pricing on request |
| Website | mindgard.ai |
| Facts checked | 21 Sep 2026 |
Mindgard integrations
Mindgard lists 6 integrations on its own site.
- CI/CD pipelines
- IDE hooks
- SIEM
- ticketing systems
- Burp Suite
- REST APIs
Alternatives to Mindgard
- PromptGuardBroad AI security testing with flexible deployment and a low-cost paid entry tier.9.3
- Akto Agentic Red TeamingBroad AI security testing for enterprise agent and API security teams.9.1
- F5 AI Red TeamA self-hosted AI red-team platform for testing attacks, agent behavior, and operational risk.8.8
See all Mindgard alternatives →
Mindgard vs the competition
- Mindgard vs PromptGuard
- Mindgard vs Akto Agentic Red Teaming
- Mindgard vs F5 AI Red Team
- Mindgard vs Promptfoo
- Mindgard vs RedForge
- Mindgard vs AgentScan
Compare Mindgard with any tool side by side →
Also Ranked In
Mindgard is ranked in 2 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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