As large language models become embedded in enterprise workflows, so does the risk of unintentionally exposing sensitive data. LLM Shield solves this challenge at the source by securing data before it ever enters your AI pipelines.
Designed for GenAI and MLOps environments, LLM Shield uses NLP-based classification and format-preserving masking to protect PII, PHI, and business-critical information across logs, APIs, cloud storage, and datasets. It integrates seamlessly into AI training and inference pipelines, dynamically applying tokenization, masking, or synthetic replacement based on pre-built policy templates or custom rules.
With full audit traceability and compliance-aligned reporting, LLM Shield helps organizations embrace AI securely without compromising privacy, model utility, or regulatory posture.
