These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Mindgard
Mindgard empowers enterprise security teams to deploy AI and GenAI securely. Mindgard allows its clients to leverage advanced red teaming platform to swiftly identify and remediate security vulnerabilities within AI. This allows companies to minimize AI cyber risk, accelerate AI adoption, and unlock AI/GenAI value for their business.
Key features of Mindgard:
- Comprehensive testing: has been tested over the past six years to identify risks in neural network models, including Generative AI, LLMs, and multi-modal applications in audio, vision, chatbots, and agents.
- Automated efficiency: automation of red-teaming for AI/GenAI with instant security feedback, integrating continuous testing into your MLOps pipeline to monitor security risks across prompt engineering, RAG, fine-tuning, and pre-training.
- Advanced threat library: includes an AI attack library which is continuously enhanced by a team of PhD AI security researchers, enables testing tailored to unique business requirements.
About the tool
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Tags:
- ai risks
- ai vulnerabilities
- Security and resilience
- ai red teaming
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