Protecto AI Guardrails is a data protection tool designed to prevent sensitive data leaks in AI applications and pipelines. It uses custom models to detect and mask PII (Personally Identifiable Information) and PHI (Protected Health Information) within AI prompts, responses, and data ingestion workflows, including those used in RAG (Retrieval-Augmented Generation) and AI agent systems. The tool employs an accuracy-preserving data masking technique that redacts sensitive data while maintaining the consistency, format, and type of the original data, ensuring LLM output accuracy is not degraded. It also supports data tokenization as a pseudonymization method, allowing operations on masked data without exposing actual sensitive information. Beyond PII/PHI detection, the guardrails filter harmful content such as hate speech, profanity, and competitor mentions before it reaches end users. Role-based access controls allow authorized users to retrieve original sensitive data when needed. The product is deployable on-premises or as a SaaS solution with multi-tenancy support. It exposes real-time and asynchronous APIs designed for low latency and high data volumes. Pricing follows a pay-as-you-go model. Protecto AI Guardrails is aimed at helping organizations meet privacy regulations including HIPAA, GDPR, DPDP, and CPRA, and supports AI training and development workflows where PII/PHI exposure must be minimized.