Mindgard

Core features

• ✦Automated AI Red Teaming
• ✦AI Security Testing
• ✦AI Threat Library
• ✦Vulnerability Detection and Mitigation
• ✦Continuous Security Testing
• ✦Integration with CI/CD and SIEM systems

Use cases

• →Securing AI systems from new threats that traditional application security tools cannot address.
• →Identifying and resolving AI-specific risks during runtime.
• →Continuous security testing across the AI SDLC.
• →Securing AI models and guardrails, including open source, internally developed, 3rd party purchased, and popular LLMs.

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