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Mindgard is an automated AI security platform designed to discover, assess, and defend AI systems and agents against high-impact vulnerabilities. Originating from a decade of research at Lancaster University, the tool acts as an autonomous red teamer to map the AI attack surface and identify exploits before they are used by adversaries. It provides continuous analysis and runtime protection, helping organizations secure their AI infrastructure, models, and agentic workflows. The platform is particularly effective at surfacing hidden instructions, system prompt leaks, and cross-modal prompt injections. By automating reconnaissance and security scanning, Mindgard reduces the manual effort required for AI security assessments by up to ten times. It is built for enterprises that need to maintain compliance and safety while deploying complex AI applications in production environments. The solution works across various AI systems, from open-source models to managed platforms, ensuring comprehensive coverage.
4.8/5
High-fidelity security reports and risk assessments
Professional and data-driven dashboard
Automated AI red teaming and security risk management.
Integrates with major AI models, agents, and production infrastructure.
Enterprise pricing available via demo
Features with the highest value for users are highlighted here.
Automated AI red teaming
Runtime AI protection
Shadow AI risk exposure discovery
Psychometric agent profiling
AI infrastructure crawling
Compliance and risk reporting
Enterprise Security Teams
AI Developers
Compliance Officers
DevSecOps Engineers
Chief Information Security Officers
AI Research Labs
Financial Services
Healthcare Providers
SaaS Companies
Managed Service Providers
Enterprise Demo
Enterprise Platform
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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