Mindgard
Mindgard is a company specializing in AI and ML security, offering a platform for threat assessment, detection, and response, along with hands-on AI Security Labs and ML-DLP solutions.
Mindgard Services
Mindgard provides a platform designed to assess, detect, respond to, and secure AI/ML systems against various threats. Their services encompass AI Security Labs, which offer hands-on testing and learning opportunities about AI security. The platform also includes ML-DLP solutions aimed at preventing data loss in AI applications. Additionally, Mindgard features an FAQ page and a demo sign-up option for users interested in exploring the platform's capabilities.
AI Security Labs by Mindgard
Mindgard's AI Security Labs offer a cloud environment and GPU datacenter for running AI attacks, allowing users to experiment with up to five different AI attack combinations. These labs are designed to provide hands-on testing and a learning environment focused on AI security. Users can simulate real-world scenarios to better understand and mitigate AI threats.
Mindgard Enterprise Version Features
The Enterprise version of Mindgard's platform provides access to the largest commercially available range of AI attacks and an 'AI threat intel' database. This version can be deployed either within a container or on 'bare metal,' offering flexibility depending on organizational needs. It is tailored for enterprise-level security solutions and offers robust features for comprehensive AI security.
Mindgard Partnerships
Mindgard has established partnerships with several notable organizations including Deloitte, Northrop Grumman, NVIDIA, Lancaster University, PA Consulting, and Microsoft for Startups. These collaborations aim to enhance the platform's capabilities and extend its reach in the industry, leveraging the expertise and resources of these esteemed entities.
ML-DLP Solutions by Mindgard
Mindgard offers Machine Learning Data Loss Prevention (ML-DLP) solutions tailored for AI applications. These solutions are designed to safeguard sensitive data from unauthorized access or leaks during the AI training and operational phases. The ML-DLP ensures that AI applications maintain data integrity and confidentiality, which is crucial for organizations dealing with large sets of proprietary or sensitive information.