SaaS Metrics
I was building a proxy to strip PII from LLM API calls and realized
that zero-width Unicode characters break basically every PII filter out
there. If you stick a zero-width space inside a name like T om, Presidio's
NER model doesn't see it as a name anymore. Same thing with SSNs and phone
numbers against regex. So I built a normalization layer that strips all
that stuff before running detection.The proxy itself is pretty simple. You swap your OpenAI base URL to point
at Veil and it redacts PII before the request leaves, then puts the real
values back in the response. Works with streaming too which was the hard
part honestly.https://veil-api.com, free tier is 100 requests/month.
Show HN: Veil a Drop-in PII redaction proxy for any LLM API
A solution to strip PII from LLM API calls, specifically addressing the vulnerability of zero-width Unicode characters breaking existing PII filters, ensuring compliance and data security.
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AI Executive Synthesis
A solution to strip PII from LLM API calls, specifically addressing the vulnerability of zero-width Unicode characters breaking existing PII filters, ensuring compliance and data security.
Veil addresses a critical security and compliance gap in LLM API usage: the failure of existing PII filters against zero-width Unicode character obfuscation. By acting as a drop-in proxy, it normalizes requests to strip these characters before PII detection, then re-inserts original values into responses. This directly solves a significant vulnerability where sensitive data (PII, SSNs, phone numbers) could bypass redaction, exposing enterprises to data breaches and regulatory non-compliance. The 'drop-in' nature and compatibility with streaming APIs simplify integration, making it an attractive solution for businesses already using LLMs but lacking robust PII protection. This product targets a clear market need for enhanced data privacy and security infrastructure around AI interactions, particularly as LLM adoption increases in regulated industries.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Veil a Drop-in PII redaction proxy for any LLM API?
Veil a Drop-in PII redaction proxy for any LLM API is analyzed by our AI as: A solution to strip PII from LLM API calls, specifically addressing the vulnerability of zero-width Unicode characters breaking existing PII filters, ensuring compliance and data security.. It focuses on Veil addresses a critical security and compliance gap in LLM API usage: the failure of existing PII filters against zero-width Unicode character ob...
Where did Veil a Drop-in PII redaction proxy for any LLM API originate?
Data for Veil a Drop-in PII redaction proxy for any LLM API was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Veil a Drop-in PII redaction proxy for any LLM API publicly launched?
The initial public indexing or launch date for Veil a Drop-in PII redaction proxy for any LLM API within our tracked developer communities was recorded on April 8, 2026.
How popular is Veil a Drop-in PII redaction proxy for any LLM API?
Veil a Drop-in PII redaction proxy for any LLM API has achieved measurable traction, logging over 2 traction score and facilitating 0 recorded discussions or engagements.
Which technical categories define Veil a Drop-in PII redaction proxy for any LLM API?
Based on metadata extraction, Veil a Drop-in PII redaction proxy for any LLM API is categorized under topics such as: PII redaction proxy, LLM API calls, zero-width Unicode characters, PII filter.
Are there open-source alternatives related to Veil a Drop-in PII redaction proxy for any LLM API?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named mnfst/awesome-free-llm-apis shares highly similar architectural descriptions and topics.
How does the creator describe Veil a Drop-in PII redaction proxy for any LLM API?
The original author or development team describes the product as follows: "I was building a proxy to strip PII from LLM API calls and realized
that zero-width Unicode characters break basically every PII filter out
there. If you stick a zero-width space inside a name li..."
Community Voice & Feedback
No active discussions extracted yet.
Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.