# Strict PII Redaction Engine MCP for AI Agents AI Agent Connect > Strict PII Redaction Engine instantly strips sensitive personal data from your documents using deterministic regex patterns. It handles emails, credit cards, SSNs, and phone numbers locally to ensure your data stays private before it ever hits an AI model. ## Overview - **Category:** security-compliance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_WeDQGIP6u7TLvhPepPnq4HBBgLgfoYyY0IXl9j4v/ai-agent-connect - **Tags:** pii-redaction, data-privacy, gdpr-compliance, regex, data-scrubbing, security-firewall ## Description You're trying to feed legal contracts or financial spreadsheets into an AI client to get a summary, but you can't risk sending real social security numbers or private emails into the cloud. Relying on a model to just be careful with privacy is a huge security hole and a massive compliance risk. This Connector acts as a hard gate for your data. It scans your text and replaces every piece of sensitive info with a redaction tag before the data ever leaves your local environment. It uses high-speed regex to catch things like CPFs, credit card numbers, and phone numbers with 100% certainty. You get the analysis you need without the risk of a compliance nightmare. It's one of the reliable tools you'll find in the Vinkius catalog for keeping your data clean and your company safe. Instead of manually hunting for every email address in a 50-page transcript, you can just run the text through this engine. It handles the heavy lifting of identification and replacement in milliseconds. You get a clean, safe version of your document that is ready for your AI client to process without any privacy concerns. ## Tools ### redact_pii_strictly Replaces emails, CPFs, SSNs, and credit cards with redacted tags using fast offline regex. This ensures no sensitive data reaches your AI client. ## Prompt Examples **Prompt:** ``` I have a legal contract. Can you redact all the emails and phone numbers before we summarize it? ``` **Response:** ``` I've processed the contract. All emails and phone numbers are now replaced with [REDACTED]. You can safely proceed with the summary. ``` **Prompt:** ``` Take this leak log and make sure every credit card number is gone. ``` **Response:** ``` The log has been scrubbed. Every 16-digit card number was identified and replaced with [REDACTED]. The rest of the data remains intact. ``` **Prompt:** ``` Remove all the SSNs from this deposition transcript. ``` **Response:** ``` I've run the redaction engine. All social security numbers have been removed from the transcript and replaced with [REDACTED] tags. ``` ## Capabilities ### Scrub emails and phone numbers Automatically replaces contact information with redaction tags. ### Mask credit card numbers Identifies and hides 16-digit card data from your text. ### Erase SSNs and CPFs Removes government IDs from legal documents to maintain privacy. ### Localize data processing Handles all redaction on your machine instead of sending data to a third-party cloud. ### Maintain document structure Keeps the rest of your text intact while only swapping out the sensitive bits. ## Use Cases ### Legal Summary A lawyer wants to summarize a 50-page deposition. They use the Connector to strip phone numbers and SSNs first. ### Leak Log Analysis A security pro has a massive log of leaked data. They run it through the engine to destroy all 16-digit credit card numbers. ### Customer Support A support lead wants to analyze chat logs. They use the Connector to hide emails and phone numbers before the agent reads them. ### Financial Audit An auditor needs to check bank statements. They redact all account numbers to stay compliant with privacy laws. ## Benefits - Stop data leaks by ensuring sensitive info never leaves your local machine. - Meet GDPR and CCPA requirements by using deterministic redaction instead of unreliable AI prompts. - Save hours of manual scrubbing on large documents like deposition transcripts or leak logs. - Keep your AI client's context clean by removing irrelevant personal identifiers that could confuse the model. - Use redact_pii_strictly to handle multiple types of PII like CPFs and SSNs in one pass. ## How It Works The bottom line is you get a bulletproof way to sanitize data before it touches any external model. 1. Connect your AI client to the Connector and provide the document text. 2. The engine runs regex patterns against the input to identify sensitive strings. 3. You get back the cleaned text with [REDACTED] tags in place of the original data. ## Frequently Asked Questions **How does the Strict PII Redaction Engine keep my data private?** It processes your text locally on your machine. It identifies sensitive information and replaces it with redacted tags before the data is ever sent to an AI client. **Can I use the Strict PII Redaction Engine for GDPR compliance?** Yes. It provides a deterministic way to remove personal identifiers like emails and phone numbers, which is a core requirement for many data privacy regulations. **Does the Strict PII Redaction Engine work on large files?** Yes. It uses high-performance regex patterns to scan through large amounts of text quickly, making it ideal for long legal documents or logs. **What specific data does the Strict PII Redaction Engine remove?** It targets common sensitive identifiers including emails, 16-digit credit card numbers, SSNs, and CPFs. **Is the Strict PII Redaction Engine better than just asking the AI to hide data?** It is much safer. Asking an AI to hide data is probabilistic and can be missed. This Connector uses strict rules to ensure the data is gone before the AI sees it. **How does the Strict PII Redaction Engine handle different types of IDs like CPFs?** It identifies specific government ID formats like CPFs and replaces them with redaction tags, ensuring they don't end up in your AI context. **Does it read the meaning of the text?** No, it strictly executes compiled local mathematical regex patterns, ensuring it never hallucinates or leaks contextual data. **What data points are redacted?** The engine strips standard email addresses, 16-digit credit cards, US SSNs, Brazilian CPFs, and generic phone number formats. **Is the original text preserved?** The tool returns a completely sanitized clone of the document string, leaving the raw client source completely untouched locally.