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ccpa-compliance

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California Consumer Privacy Act (CCPA) / CPRA compliance for businesses handling California resident data. Use when serving California users, building privacy features, implementing consumer data rights, or responding to data subject requests.

General

What this skill does


# CCPA / CPRA Compliance

## Overview

The California Consumer Privacy Act (CCPA), amended by CPRA (California Privacy Rights Act effective January 1, 2023), gives California residents rights over their personal information. Applies to for-profit businesses that:
- Have ≥$25M annual gross revenue, OR
- Buy/sell/share personal info of ≥100,000 CA consumers/households, OR
- Derive ≥50% of annual revenue from selling personal info

Fines: up to $2,500 per unintentional violation, $7,500 per intentional violation. California AG and individual consumers can sue.

## Consumer Rights Under CCPA/CPRA

| Right | Description | Response Deadline |
|-------|-------------|------------------|
| **Right to Know** | What personal info is collected, used, shared, sold | 45 days (+ 45-day extension) |
| **Right to Delete** | Request deletion of personal info | 45 days |
| **Right to Opt-Out** | Opt out of sale or sharing of personal info | Immediate effect |
| **Right to Correct** | Correct inaccurate personal info (CPRA) | 45 days |
| **Right to Limit** | Limit use of sensitive personal info (CPRA) | Immediate effect |
| **Right to Non-Discrimination** | Cannot be denied service for exercising rights | N/A — always |
| **Right to Data Portability** | Receive data in portable format | 45 days |

## Sensitive Personal Information (CPRA)

CPRA adds extra protections for sensitive PI:
- SSN, driver's license, passport number
- Financial account credentials
- Precise geolocation (within 1,852 meters)
- Racial or ethnic origin
- Religious or philosophical beliefs
- Union membership
- Contents of mail, email, text messages
- Genetic data
- Biometric data used for identification
- Health information
- Sexual orientation or sex life

## Data Inventory and Mapping

Before building DSR workflows, map your data:

```python
# data_inventory.py — document what personal data you collect

DATA_INVENTORY = {
    "users": {
        "table": "users",
        "fields": {
            "email": {"category": "contact", "sensitive": False, "sold": False},
            "name": {"category": "identifier", "sensitive": False, "sold": False},
            "ip_address": {"category": "usage", "sensitive": False, "sold": False},
            "location": {"category": "location", "sensitive": True, "sold": False},
            "phone": {"category": "contact", "sensitive": False, "sold": False},
        },
        "retention_days": 365 * 3,  # 3 years
        "third_parties": ["Stripe", "SendGrid", "Mixpanel"],
    },
    "analytics_events": {
        "table": "events",
        "fields": {
            "user_id": {"category": "identifier", "sensitive": False, "sold": False},
            "event_name": {"category": "behavior", "sensitive": False, "sold": False},
            "device_id": {"category": "identifier", "sensitive": False, "sold": True},
        },
        "retention_days": 365,
        "third_parties": ["Mixpanel", "Segment"],
    }
}
```

## Privacy Notice Requirements

Your privacy policy must disclose:
- Categories of personal information collected
- Purposes for collection
- Whether you sell or share personal information
- Categories of third parties data is disclosed to
- Consumer rights and how to exercise them
- Contact info for privacy requests

```javascript
// Required sections in privacy policy
const REQUIRED_DISCLOSURES = {
  collected_categories: [
    "Identifiers (name, email, IP address)",
    "Commercial information (purchase history)",
    "Internet or other network activity (browsing history)",
    "Geolocation data",
    "Inferences drawn from above"
  ],
  collection_purposes: [
    "Provide and improve our services",
    "Send transactional and marketing emails",
    "Analytics and product development"
  ],
  sells_data: false,        // Required disclosure
  shares_data: true,        // Sharing = cross-context behavioral advertising
  shared_with: ["Google Analytics", "Facebook Pixel", "Mixpanel"],
  rights_contact: "[email protected]",
  opt_out_url: "https://yourcompany.com/privacy/opt-out"
};
```

## GPC (Global Privacy Control) Signal Detection

GPC is a browser signal that automatically invokes the right to opt-out of sale/sharing. California law (CPRA) requires businesses to honor it as of 2023.

```javascript
// Express.js middleware — detect GPC signal and honor opt-out
const gpcMiddleware = (req, res, next) => {
  const gpcEnabled = req.headers['sec-gpc'] === '1';
  
  if (gpcEnabled) {
    // Auto-apply opt-out for this request
    req.privacyConsent = {
      optedOutOfSale: true,
      optedOutOfSharing: true,
      source: 'gpc_signal',
      detectedAt: new Date().toISOString()
    };
    
    // Record opt-out preference
    if (req.user) {
      recordOptOut(req.user.id, 'gpc_signal');
    } else {
      // Use cookie to persist for anonymous users
      res.cookie('ccpa_optout', '1', { 
        maxAge: 365 * 24 * 60 * 60 * 1000,  // 1 year
        httpOnly: true, 
        secure: true, 
        sameSite: 'Strict'
      });
    }
  }
  
  next();
};
```

## Data Subject Request (DSR) API

```python
# FastAPI DSR endpoints
from fastapi import FastAPI, BackgroundTasks, HTTPException
from pydantic import BaseModel, EmailStr
from enum import Enum
import uuid
from datetime import datetime

app = FastAPI()

class DSRType(str, Enum):
    KNOW = "know"
    DELETE = "delete"
    CORRECT = "correct"
    OPT_OUT = "opt_out"
    LIMIT_SPI = "limit_sensitive"
    PORTABILITY = "portability"

class DSRRequest(BaseModel):
    request_type: DSRType
    email: EmailStr
    name: str
    correction_details: str = None  # For CORRECT requests

class DSRResponse(BaseModel):
    request_id: str
    status: str
    deadline: str
    message: str

@app.post("/api/privacy/dsr", response_model=DSRResponse)
async def submit_dsr(request: DSRRequest, background_tasks: BackgroundTasks):
    """Submit a Data Subject Request."""
    request_id = str(uuid.uuid4())
    deadline_days = 1 if request.request_type == DSRType.OPT_OUT else 45
    
    # Store request
    dsr_record = {
        "id": request_id,
        "type": request.request_type,
        "email": request.email,
        "name": request.name,
        "status": "pending",
        "submitted_at": datetime.utcnow().isoformat(),
        "deadline_days": deadline_days,
        "verified": False
    }
    await db.dsr_requests.insert(dsr_record)
    
    # Send verification email
    background_tasks.add_task(send_verification_email, request.email, request_id)
    
    return DSRResponse(
        request_id=request_id,
        status="pending_verification",
        deadline=f"{deadline_days} days after identity verification",
        message="We've sent a verification email. Please verify your identity to proceed."
    )

@app.post("/api/privacy/dsr/{request_id}/verify")
async def verify_dsr(request_id: str, token: str, background_tasks: BackgroundTasks):
    """Verify identity and begin DSR processing."""
    dsr = await db.dsr_requests.find_one({"id": request_id, "token": token})
    if not dsr:
        raise HTTPException(status_code=404, detail="Request not found")
    
    await db.dsr_requests.update({"id": request_id}, {"verified": True, "verified_at": datetime.utcnow().isoformat()})
    background_tasks.add_task(process_dsr, request_id, dsr["type"], dsr["email"])
    
    return {"status": "processing", "message": "Identity verified. Processing your request."}

async def process_dsr(request_id: str, dsr_type: DSRType, email: str):
    """Process DSR by type."""
    user = await db.users.find_one({"email": email})
    if not user:
        await complete_dsr(request_id, "no_data_found")
        return
    
    if dsr_type == DSRType.DELETE:
        await delete_user_data(user["id"])
    elif dsr_type == DSRType.KNOW:
        data_export = await export_user_data(user["id"])
        await send_data_export(email, data_export)
    elif dsr_type == DSRType.OPT_OUT:
        await opt_out_user(user["id"])
    elif dsr_type == DSR
Files: 2
Size: 12.2 KB
Complexity: 23/100
Category: General

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