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AI Security
LLM guardrails, prompt injection defense, AI governance, and developer security platforms
LLM guardrails, prompt injection defense, AI governance, and developer security platforms
Runtime security for AI agents and LLMs
An AI security platform that provides runtime protection, behavioral intent analysis, and automated red teaming for LLMs and autonomous agents. It monitors inputs and outputs, detects prompt injection and data leakage, and enforces compliance policies.
AI security platform
A platform that secures AI models across the lifecycle with supply chain scanning, runtime threat detection, and automated red teaming. It monitors for malware, CVEs, prompt injection, and model tampering without accessing private data or models.
Framework for building safe and reliable LLM applications
An open-source Python framework that runs input and output guards to detect, quantify, and mitigate risks, and generates structured data from large language models.
AI gateway and deployment platform
A platform for deploying, governing, and monitoring LLM and agentic AI applications on your own cloud or on-premises infrastructure. It includes an AI Gateway for unified model access, a deployment engine for services and jobs, and built-in observability for cost and performance monitoring.
Prompt management, testing, and monitoring platform
A platform for managing, versioning, testing, and monitoring prompts across LLM providers. It includes a prompt registry, workflow builder, evaluation tools, and observability for AI applications in production.