Mindgard vs Crucible

Mindgard9.0Visit CCrucible8.4Visit

Higher score Mindgard #3 in AI Security Testing Tools 9.0/10 Pricing on request ✓ 5 of 5 features Visit Mindgard

vs

C Crucible #8 in AI Security Testing Tools 8.4/10 Free plan Free plan✓ 4 of 5 features Visit Crucible

• Mindgard fits best

  Enterprise AI risk and remediation programs

• Crucible fits best

  Agent teams testing complex attack lifecycles

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Side by side

Feature	Mindgard 9.0/10 Visit ↗	CCrucible 8.4/10 Visit ↗
At a glance
Editor score	9.0	8.4
Ranking	#3 in AI Security Testing Tools	#8 in AI Security Testing Tools
Best for	Enterprise AI risk and remediation programs	Agent teams testing complex attack lifecycles
Pricing model	Paid	Free plan + paid
Starting price	Pricing on request	—
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Self-hosted
Support	Email, Phone, Docs	Community, Docs
Integrations	6 integrations	6 integrations
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Mindgard 5/5 · Crucible 4/5
Prompt injection tests	✓	✓
Jailbreak tests	✓	✓
Data leakage tests	✓ (best)	Not checked yet
Unsafe output tests	✓	✓
Custom test cases	✓	✓
Specs
Deployment mode	Both	Self_hosted
Our review
Pros	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	153 attack vectors across 11 modules in the Community plan Covers prompt injection, jailbreaks, MCP abuse, and poisoning attacks JSON and HTML reports with severity findings and OWASP mappings
Cons	Pricing requires contacting sales Its listed platforms are limited to web and API The broad feature set may exceed narrower testing needs	Team features are listed as Early Access Hosted dashboards are upcoming or early-access functionality Enterprise pricing is custom rather than publicly stated
Our verdict	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,… Read the review →	Crucible is an open-source Python CLI for testing AI agents before production. It runs adversarial payloads against HTTP or MCP-accessible agents, covering prompt injection, jailbreaks, unsafe content, tool misuse, memory poisoning, MCP… Read the review →

Strengths and trade-offs

• Mindgard — 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

• Crucible — where it wins

  • 153 attack vectors across 11 modules in the Community plan
  • Covers prompt injection, jailbreaks, MCP abuse, and poisoning attacks
  • JSON and HTML reports with severity findings and OWASP mappings

  Where it doesn't

  • Team features are listed as Early Access
  • Hosted dashboards are upcoming or early-access functionality
  • Enterprise pricing is custom rather than publicly stated

• Mindgard9.0/10 · Pricing on request

  A broad AI risk platform spanning discovery, testing, protection, and remediation.

  Visit MindgardFull verdict →
• CCrucible8.4/10 · Free plan

  A broad CLI for testing agent attack lifecycles locally and in CI/CD.

  Visit CrucibleFull verdict →