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GPTGuard.ai
Cloud/on-prem AI chat with real-time PII masking
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GPTGuard.ai - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
GPTGuard.ai overview
What is GPTGuard.ai?
GPTGuard.ai is an enterprise AI chat platform available as SaaS or on-premises deployment, designed for organizations in finance, healthcare, government, and any sector where employees handle regulated or sensitive data. The platform intercepts user prompts and uploaded documents before they reach any large language model, applying real-time sensitive data detection and privacy-preserving masking across PII, PHI, PCI, and custom-defined sensitive terms. Masking uses a blend of regex, rules-based logic, entropy-based tokenization, and AI models, preserving data format, type, and structure so that LLMs maintain contextual accuracy without ever receiving raw regulated data. Semantic tagging carries entity context through masked tokens to prevent hallucinations. Both deployment options include full feature parity and multitenancy support, with corporate SSO integration and compliance coverage for HIPAA, GDPR, PCI DSS, GLBA, and Middle East data protection regulations.
Beyond prompt protection, GPTGuard.ai includes HyperSearch RAG (Retrieval-Augmented Generation) for chatting with unlimited internal files, OCR support for scanned PDFs and images, and transparent source tracing that identifies which files and context segments informed each AI response. Users can switch between internal document chat and public web chat within a single session, and can select from multiple top LLM models. On-premises deployment keeps raw data within customer-owned infrastructure, supporting data residency requirements without sacrificing access to generative AI capabilities.
GPTGuard.ai targets CISOs, enterprise IT teams, and compliance officers who need to extend generative AI access to employees without creating data governance gaps. By masking rather than blocking sensitive data, the platform preserves AI response accuracy and workforce productivity while enforcing data protection policies, eliminating the need to restrict or ban AI tools organization-wide.
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