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Founded in 2021, Mindgard specializes in AI security, delivering automated red teaming and security testing solutions. Its platform is designed to safeguard AI/ML models—including large language models (LLMs) and generative AI (GenAI)—throughout their entire lifecycle, whether developed in-house or sourced from third parties. Mindgard's offerings include automated security testing, remediation, and threat detection, supported by an extensive AI threat library that identifies and addresses vulnerabilities. This empowers developers to create secure and reliable systems.
Visit Mindgard →Mindgard is best evaluated by teams whose primary job is engineering within enterprise. It sits in the team-tier price band, so evaluate it on workflow fit rather than budget pressure. Use this page to confirm pricing, integration coverage, and the controls your buyer process actually requires before shortlisting.
Resizable cloud compute capacity from Amazon Web Services.
Global payroll, EOR, and contractor management for distributed teams.
Streamlined FinOps solution for managing and reducing AWS expenses.
Product analytics platform for understanding user behavior and growth.
Premier LLM provider for Enterprise AI, featuring both on-premise and cloud solutions.