⛨ redactum - automated PII & secret redaction

What It Does

Fast, zero-dependency PII redaction library for TypeScript and JavaScript that automatically removes sensitive data before it leaves your stack.

Redactum protects you and your users by redacting:

• 👤 Personal information (emails, phone numbers, SSNs)
• 💳 Financial data (credit cards, bank accounts)
• 🔑 Developer secrets (API keys, database URLs, JWT tokens)
• 🏗️ Infrastructure details (IP addresses, AWS credentials)

190+ built-in patterns across 32 categories for comprehensive detection of personal, financial, and technical sensitive data.

Installation

pnpm install redactum

Quick Start

import { redactum } from "redactum";

const userMessage = `Errors found in cloudwatch
ERROR: Failed to connect to database
DEBUG: DATABASE=postgres://admin:u$k9!fR2@qLx2@db:5432/db`;

const result = redactum(userMessage);

Errors found in cloudwatch
ERROR: Failed to connect to database
DEBUG: DATABASE=postgres://[REDACTED]:[REDACTED]@db:5432/db

Provider Integrations

Redactum works seamlessly with popular AI SDKs:

OpenAI

import { createOpenAIAdapter } from "redactum/providers";
import OpenAI from "openai";

const adapter = createOpenAIAdapter();
const openai = adapter.createClientWrapper(new OpenAI());

const completion = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [
    {
      role: "user",
      content: `Errors found in cloudwatch
                ERROR: Failed to connect to database
                DEBUG: DATABASE=postgres://admin:u$k9!fR2@qLx2@db:5432/db`,
    },
  ],
});

Anthropic

import { createAnthropicAdapter } from "redactum/providers";
import Anthropic from "@anthropic-ai/sdk";

const adapter = createAnthropicAdapter();
const anthropic = adapter.createClientWrapper(new Anthropic());

const message = await anthropic.messages.create({
  model: "claude-3-5-sonnet-20241022",
  max_tokens: 1000,
  messages: [
    {
      role: "user",
      content: "Process this: API_KEY=sk_live_4eC39HqLyjWDarjtT1zdp7dc",
    },
  ],
});

LangChain

import { createLangChainAdapter } from "redactum/providers";
import { Document } from "@langchain/core/documents";

const adapter = createLangChainAdapter();
const transformer = adapter.createDocumentTransformer();

const docs = await transformer([
  new Document({
    pageContent: "Contact: sarah.chen@company.io, Phone: +44 20 7946 0958",
  }),
]);

Vercel AI

import { createVercelAIAdapter } from "redactum/providers";
import { openai } from "@ai-sdk/openai";

const adapter = createVercelAIAdapter();
const { streamText } = adapter.createStreamingWrapper();

const result = await streamText({
  model: openai("gpt-4"),
  prompt: "Credit card: 4111-1111-1111-1111",
});

LlamaIndex

import { createLlamaIndexAdapter } from "redactum/providers";
import { TextNode } from "llamaindex";

const adapter = createLlamaIndexAdapter();
const transformer = adapter.createNodeTransformer();

const nodes = await transformer.transform([
  new TextNode({
    text: "SSN: 123-45-6789",
  }),
]);

Usage

Basic Redaction

import { redactum } from "redactum";

const result = redactum("Email me at sarah.chen@company.io");
console.log(result.redactedText);

Custom Replacement

const result = redactum("Email: sarah.chen@company.io", {
  replacement: "***",
});

const result = redactum("Email: sarah.chen@company.io", {
  replacement: (match, category) => `[${category}]`,
});

Selective Redaction

const result = redactum("Email: sarah.chen@company.io, SSN: 123-45-6789", {
  policies: ["EMAIL_ADDRESS", "SSN"],
});

Custom Patterns

import { PolicyCategory } from "redactum";

const result = redactum("Employee: EMP-123456", {
  customPolicies: [
    {
      name: "EMPLOYEE_ID",
      pattern: /EMP-\d{6}/g,
      category: PolicyCategory.CUSTOM,
    },
  ],
});

Length Preservation

const result = redactum("Stripe: sk_live_4eC39HqLyjWDarjtT1zdp7dc", {
  preserveLength: true,
  replacement: "*",
});

Batch Processing

import { redactumBatch } from "redactum";

const messages = [
  "Support ticket from sarah.chen@company.io",
  "Customer callback: +44 20 7946 0958",
  "Payment failed: 4111-1111-1111-1111",
];

const results = await redactumBatch(messages);
const redactedMessages = results.map((result) => result.redactedText);

Error Handling

import { redactumValidateOptions, PolicyCategory } from "redactum";

try {
  redactumValidateOptions({
    policies: ["EMAIL_ADDRESS", "PHONE_NUMBER_UK"],
    customPolicies: [
      {
        name: "EMPLOYEE_ID",
        pattern: /EMP-\d{6}/g,
        category: PolicyCategory.CUSTOM,
      },
    ],
  });
} catch (error) {
  console.error("Invalid configuration:", error.message);
}

API

Core Functions

• redactum(text, options?) - Main redaction function
• redactumBatch(texts[], options?) - Batch process multiple texts
• redactumFromConfig(text, configOptions?) - Load from config file
• createRedactum(options?) - Create stateful instance

Validation Functions

• redactumValidateOptions(options) - Validate configuration
• redactumValidatePolicy(pattern) - Validate custom policy

Utility Functions

• redactumCalculateEntropy(text) - Shannon entropy (0-8)
• redactumLooksLikeSecret(text, minLength?, threshold?) - Heuristic secret detection
• redactumGetAllPatterns() - All built-in policies
• redactumGetPatterns(options?) - Patterns for config
• redactumGetEnabledPolicies(options?) - Enabled policy names
• redactumGetEnabledCategories(options?) - Enabled categories

Contributing

Contributions, issues, and feature requests are welcome. If you would like to get involved, please open an issue or submit a pull request to help improve the project.

License

This project is released under the MIT License. Created and maintained by Alex Whinfield.