AI Security & Compliance Tools
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Mindgard

AI security red teaming platform that tests machine learning models for vulnerabilities, adversarial attacks, and safety issues.

3.8
Paid
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About Mindgard

Mindgard specializes in AI security — specifically testing and securing machine learning models against adversarial attacks, data poisoning, model extraction, and other AI-specific threats. It provides automated red teaming for AI systems, identifying vulnerabilities before they can be exploited. The platform runs a battery of attacks against your AI models including prompt injection, jailbreaking, adversarial inputs, and data leakage tests. It generates detailed reports with risk scores and remediation guidance for each vulnerability found. Mindgard fills a critical gap as more organizations deploy AI systems without understanding the unique security risks they introduce. Traditional security tools do not cover AI-specific attack vectors. The pricing is custom and enterprise-focused, reflecting the specialized nature of AI security assessment.

Key Features

  • AI model red teaming
  • Adversarial attack testing
  • Prompt injection detection
  • Data leakage assessment
  • Risk scoring
  • Remediation guidance

Pros

  • Covers AI-specific attack vectors
  • Automated red teaming for ML models
  • Detailed vulnerability reports
  • Addresses a critical security gap

Cons

  • Custom pricing only
  • Niche focus — only useful if you deploy AI models
  • Requires ML knowledge to act on findings
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Details

Pricing
Custom pricing for enterprise.
Tags
ai-securityred-teamingadversarialml-ops

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