Mindgard is an AI-focused cybersecurity platform that specializes in protecting AI and generative models from sophisticated attacks. It simulates adversarial threats such as prompt injections, model inversion, data poisoning, and jailbreaking to identify vulnerabilities in AI systems. Continuous security testing is integrated into CI/CD pipelines, providing ongoing assessment and remediation. The platform supports diverse AI systems, including LLMs, image, audio, and multi-modal models, ensuring comprehensive protection. Mindgard’s threat intelligence library is continuously updated from academic research and real-world insights. Integration with existing security operations and SIEM systems enables holistic AI protection. Organizations can detect and mitigate adversarial attacks in real time, reduce risk, and maintain a proactive security posture. Mindgard also ensures AI systems remain compliant with security standards while enhancing overall operational resilience.

Key Features

• Automated red teaming to detect AI-specific vulnerabilities

• Continuous AI security testing integrated into CI/CD pipelines

• Comprehensive coverage for LLMs, image, audio, and multi-modal AI systems

• Extensive threat intelligence library from academic and real-world research

• Integration with SecOps and SIEM systems for unified security

• Real-time monitoring and remediation for AI threats

Industries

• AI & Machine Learning Enterprises

• Technology & Software Development

• Generative AI & LLM Applications

• Research & Academia

• Cybersecurity & SecOps

Mindgard protects AI systems and generative models using AI-driven security testing and threat intelligence. General use includes automated red teaming, continuous security assessments, and AI threat monitoring. A specific example: an enterprise deploying LLMs integrates Mindgard into its CI/CD pipeline to simulate prompt injection attacks, identify vulnerabilities, and receive actionable remediation guidance. Continuous testing ensures that models remain secure against emerging adversarial threats. Organizations can monitor multi-modal AI systems, detect unusual behavior, and mitigate risks in real time. Mindgard also supports integration with existing SecOps and SIEM systems for unified security management. By leveraging its threat intelligence library, security teams stay updated on evolving AI-specific attack methods. Enterprises benefit from proactive protection, regulatory compliance, and reduced operational risk. Mindgard empowers organizations to safely deploy AI technologies while maintaining high-security standards.