
A real-time safety and security layer for LLM workflows that sits between the application and model deployment layers to detect and block sensitive data leakage, toxic outputs, hallucinations, and prompt injection attacks.
An enterprise AI governance and delivery engine that inventories AI agents and models, assigns ownership and risk classifications, enforces policies and guardrails, and provides continuous evaluation and auditability across traditional ML, generative AI, and agentic AI systems throughout the full AI lifecycle.
View SolutionAn open-source, data-driven LLM evaluation tool that enables side-by-side, metric-driven comparisons across large language models to help organizations select the best model for their use case while balancing cost, accuracy, and privacy.
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