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For enterprise AI, security, and machine-learning teams, Robust Intelligence helps find model vulnerabilities before deployment and reduce risks in live AI applications. Its AI Validation service tests models, data, and files with automated security and safety assessments, including algorithmic red teaming to uncover issues such as prompt injection, data poisoning, sensitive information exposure, harmful outputs, and denial-of-service risks. It can recommend guardrails based on the vulnerabilities it finds and generate reports mapped to AI security standards. AI Protection applies guardrails to production applications, inspecting model inputs and outputs in real time to help block attacks and unwanted responses. Teams can connect validation to CI/CD workflows and model registries through APIs, or use an SDK during development. Robust Intelligence may suit organizations that need to assess AI systems before release and protect them throughout production; it is designed for enterprise workflows rather than individual consumer use.
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