Prediction Guard enables security-sensitive teams to deploy, operate, and govern generative AI without compromising data control or compliance. The platform is built for true private deployment — on-prem, air-gapped, hybrid, or cloud — and supports bring-your-own-model workflows so teams can run preferred open models behind their firewall. Security and governance are applied directly in the inference pipeline: Prediction Guard performs pre-model PII detection & anonymization, prompt-injection scoring and blocking, and post-model output validation to reduce leakage and hallucination risk. Admins get tamper-resistant audit logs, configurable policy rules, real-time alerts, and developer-friendly APIs and SDKs for MLOps integration. Prediction Guard is purpose-built for regulated industries (finance, healthcare, legal) and platform teams that need to scale private AI with operational controls and auditability.