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What is Mindgard?
Mindgard is an AI security testing platform for enterprise security teams. It identifies vulnerabilities in AI models, including GenAI and LLMs, through automated red teaming and continuous assessment.
What sets Mindgard apart?
Mindgard distinguishes itself with automated red teaming, enabling enterprise security teams to proactively uncover hidden weaknesses in their AI systems. This approach proves valuable for companies deploying GenAI and LLMs, helping them identify potential exploit vectors before malicious actors can. Mindgard's continuous assessment allows organizations to maintain a robust security posture as their AI models evolve and new threats emerge.
Mindgard Use Cases
- AI security testing
- Cybersecurity for AI
- Continuous AI monitoring
- Adversarial attack detection
Who uses Mindgard?
Features and Benefits
- Conduct automated security assessments to swiftly identify and remediate vulnerabilities in AI and GenAI systems.
Automated Red Teaming
- Test a diverse range of AI systems including multi-modal Generative AI, Large Language Models, audio, vision, chatbots, and agent applications.
Comprehensive AI Testing
- Seamlessly integrate continuous testing into MLOps pipelines to detect changes in AI security posture from prompt engineering, retrieval-augmented generation, fine-tuning, and pre-training.
MLOps Integration
- Access a market-leading AI attack library, continuously enriched by a team of PhD AI security researchers.
Advanced Threat Library
- Secure AI model deployment while maintaining platform safety and security for enterprise applications.
Enterprise-Grade Protection
Mindgard Pros and Cons
Pros
Insufficient information to determine pros
No user feedback available to assess benefits
Unable to identify specific advantages
Lack of data to evaluate positive aspects
Cons
No user reviews or ratings available
Lack of accessible product information
Unable to verify product features or performance
Insufficient data to assess user satisfaction
Pricing
Labs Price not available
Quick risk assessment of a broad range of AI cyber threats
Self-Service
Test Popular Models
Image, Language, Text, LLM
Security Test Custom AI Models
Black-Box Tests
MLOps integration via CLI
Remediation Advice
MITRE ATLAS Advisor
Limited Test Executions
Limited Test Durations
Individual User Accounts Only
Enterprise Price not available
All Labs Features
Custom Deployments
Unlimited Tests
Upload Models and Data Sets
Complete Attack Library
Custom Durations
White-Box
More Tests Available
Testable Remediations
SSO and Access Controls
Organisation-Wide Risk View
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