NeuralTrust Moderation & Policy Engine is a content moderation solution designed for Large Language Model (LLM) applications. The product enables organizations to define and enforce custom moderation rules to filter unsafe, off-topic, or policy-violating content in generative AI systems. The engine employs a multi-layered approach combining three detection techniques: embedding-based semantic similarity detection to identify subtle variants of disallowed content, keyword and regex filters for strict pattern-based blocking, and LLM-assisted review using lightweight models like GPT-4 mini for edge case analysis. The system moderates both user prompts and model outputs in real-time. Organizations can configure custom policies through a real-time playground environment for testing and validation. The moderation engine operates as part of NeuralTrust's Runtime Security platform and can be deployed either as a SaaS solution in EU or US regions, or self-hosted in private cloud environments. The product integrates into applications with minimal code changes and is designed to handle enterprise-scale data volumes. Privacy controls allow organizations to choose between anonymizing users or collecting analytics without storing user data.