The Enigma Vault blog
Practical guides to data privacy and grounded AI.
Research, technical deep dives, product updates, and enterprise guidance on AI security, privacy, and trusted data.
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OpenAI Privacy Filter Is Great. But here's why PII Redaction Breaks Multi-Turn LLM Workflows
OpenAI's Privacy Filter is a strong open-weight PII detection model, but it redacts irreversibly, covers eight categories and is not a proxy. Production LLM apps need reversible tokenization, persistent entity mapping across turns and multi-provider coverage.
Tokenization vs. Masking vs. Redaction: Which Protects AI Prompts Best?
Compare tokenization, masking, and redaction for AI prompt protection. See why deterministic tokenization preserves LLM reasoning while masking and redaction break it.
Your LLM Doesn't Need to Know Your Customers' Names
Enterprises can't send customer PII to third-party LLMs without breaking compliance rules. NoPII is a drop-in reverse proxy that tokenizes sensitive data before it reaches any LLM provider, with one line of code to set up.
A Guide to Personally Identifiable Information (PII) Types & Uses
Personally identifiable information is any data that can identify a specific person, alone or combined with other details. Here is how PII is classified, where it hides in a business, the laws that govern it, and how to protect it.
Card Vault Tokenization: Enterprise Guide to Secure Card Storage
Card vault tokenization replaces a card number with a random token and locks the real number in an isolated, encrypted vault. Here is how it works, how far it cuts PCI scope and how to choose a provider.
Credit Card Tokenization: Accept Payments Without Storing Cards
Credit card tokenization replaces a card's 16-digit PAN with a random token, so businesses can charge and save cards for later without ever keeping the real card number in their own systems.
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Data Privacy Vault: Encrypt Every PII Field and Still Search It
A data privacy vault stores sensitive PII such as SSNs, account numbers and health fields in encrypted form and gives your applications tokens to use in place of the real values. Here is how it works and how to choose one.
PII Masking for LLMs: Top Techniques, Use Cases and Limitations
PII masking hides personal details in a prompt before it reaches a model. It helps for one-way tasks like analytics and logs, but strips context and cannot restore real values. Here is where it fits and where tokenization wins.
PII Tokenization for AI: Use LLMs Without Exposing Sensitive Data
PII tokenization gives an LLM the context it needs while the real personal values stay locked in a secure vault, out of reach of the model, logs and tools. Here is how it works.
Secure Customer Vault: PCI-Compliant Storage for Customer Data
A secure customer vault collects and stores customer cards, IDs, documents and signatures as encrypted tokens, so staff and tools never hold the raw data in email or files. Here is how it works and how to choose one.
What Is a Secure Client Intake Form? How It Protects Client Data
A secure client intake form encrypts or tokenizes client IDs, cards, documents and signatures the moment they are submitted, so nothing sits in email, shared drives or your CRM. Here is how it works.
Why confident AI hallucinations become business risks.
A fabrication that reads as truth is not a quality issue. It is an unbounded liability, and it predates language models entirely.
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