ccpa-cpra-privacy-expert

CCPA/CPRA Privacy Expert

Tools and guidance for California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA) compliance.

Table of Contents

• [Tools](#tools)
• [CCPA Compliance Checker](#ccpa-compliance-checker)
• [CCPA Data Mapper](#ccpa-data-mapper)
• [Reference Guides](#reference-guides)
• [Workflows](#workflows)
• [Regulatory Overview](#regulatory-overview)

Tools

CCPA Compliance Checker

Evaluates organizational readiness against all CCPA/CPRA requirements. Validates privacy policies, consumer rights handling, technical safeguards, and opt-out mechanisms.

# Check compliance from a JSON profile
python scripts/ccpa_compliance_checker.py --input company_profile.json

# Generate a blank input template
python scripts/ccpa_compliance_checker.py --template > company_profile.json

# JSON output for automation
python scripts/ccpa_compliance_checker.py --input company_profile.json --json

# Export report to file
python scripts/ccpa_compliance_checker.py --input company_profile.json --output report.json

Assessment Categories:

| Category | Key Checks | |----------|-----------| | Applicability | Revenue threshold, consumer count, data selling revenue | | Privacy Policy | Required disclosures, update cadence, accessibility | | Consumer Rights | Request handling, verification, timelines | | Opt-Out Mechanisms | "Do Not Sell" link, GPC signal, cookie consent | | Sensitive PI | SPI categories, use limitation link, handling controls | | Technical Safeguards | Encryption, access controls, security measures | | Service Providers | Agreement requirements, data processing terms | | Risk Assessments | Annual audits, processing risk evaluations |

Output:

• Overall compliance score (0-100)
• Per-category scores with pass/fail/partial status
• Prioritized findings with regulatory references
• Remediation recommendations

CCPA Data Mapper

Maps personal information categories, identifies sensitive personal information, tracks data flows across collection, use, sharing, and selling. Generates data inventory reports.

# Map data from a JSON data inventory
python scripts/ccpa_data_mapper.py --input data_inventory.json

# Generate a blank inventory template
python scripts/ccpa_data_mapper.py --template > data_inventory.json

# Export mapping report
python scripts/ccpa_data_mapper.py --input data_inventory.json --output mapping_report.json

# Generate data flow diagram (text-based)
python scripts/ccpa_data_mapper.py --input data_inventory.json --flow-diagram

Features:

• Maps all 11 CCPA personal information categories
• Identifies sensitive personal information (SPI) per CPRA definitions
• Tracks data flows: collection sources, business purposes, sharing/selling recipients
• Maps data to service providers, contractors, and third parties
• Generates CCPA-compliant data inventory for privacy policy disclosures
• Flags cross-border data transfers
• Detects data retention gaps

Personal Information Categories Tracked:

| Category | CCPA Section | Examples | |----------|-------------|---------| | Identifiers | 1798.140(v)(1)(A) | Name, SSN, IP address, email | | Customer Records | 1798.140(v)(1)(B) | Financial info, medical info | | Protected Classifications | 1798.140(v)(1)(C) | Race, sex, age, disability | | Commercial Information | 1798.140(v)(1)(D) | Purchase history, tendencies | | Biometric Information | 1798.140(v)(1)(E) | Fingerprints, face geometry | | Internet Activity | 1798.140(v)(1)(F) | Browsing, search, interaction | | Geolocation Data | 1798.140(v)(1)(G) | Precise location | | Sensory Data | 1798.140(v)(1)(H) | Audio, visual, thermal | | Professional Info | 1798.140(v)(1)(I) | Employment, education | | Education Info | 1798.140(v)(1)(J) | Non-public education records | | Inferences | 1798.140(v)(1)(K) | Profiles, preferences |

Reference Guides

CCPA/CPRA Requirements Guide

references/ccpa-cpra-requirements-guide.md

Complete regulatory requirements covering:

• Full CCPA/CPRA text analysis with section references
• Consumer rights implementation guidance (Right to Know, Delete, Opt-Out, Correct, Portability, Limit SPI Use)
• Privacy policy content requirements and templates
• Service provider and contractor agreement requirements
• Comparison with Virginia VCDPA, Colorado CPA, Connecticut CTDPA, and GDPR
• Enforcement and penalty structure

CCPA Implementation Playbook

references/ccpa-implementation-playbook.md

Step-by-step implementation guidance:

• 6-month implementation roadmap
• Data mapping methodology and templates
• Privacy policy drafting guide
• Opt-out mechanism implementation (website, GPC, universal opt-out)
• Consumer request workflow design with SLA tracking
• Employee and vendor training program outline
• Annual cybersecurity audit planning
• Ongoing compliance monitoring

Workflows

Workflow 1: Initial CCPA/CPRA Compliance Assessment

Step 1: Determine applicability
        → Check $25M revenue, 100K+ consumers, 50%+ PI revenue thresholds
        → Review exemptions (HIPAA, GLBA, employment data)

Step 2: Generate compliance profile template
        → python scripts/ccpa_compliance_checker.py --template > profile.json
        → Fill in organizational details

Step 3: Run compliance assessment
        → python scripts/ccpa_compliance_checker.py --input profile.json

Step 4: Review scores and findings
        → Address critical gaps first (opt-out link, privacy policy)
        → Plan remediation by category

Step 5: Create data inventory
        → python scripts/ccpa_data_mapper.py --template > inventory.json
        → Document all PI categories collected
        → python scripts/ccpa_data_mapper.py --input inventory.json

Step 6: Develop implementation plan
        → See references/ccpa-implementation-playbook.md

Workflow 2: Consumer Rights Request Handling

Step 1: Receive consumer request
        → Identify request type (Know, Delete, Opt-Out, Correct, Portability, Limit SPI)

Step 2: Acknowledge within 10 business days (confirm receipt)
        → Document request in tracking system

Step 3: Verify consumer identity
        → Match 2+ data points for standard requests
        → Match 3+ data points for sensitive data requests
        → No verification needed for opt-out requests

Step 4: Fulfill request within 45 calendar days
        → Extension: up to 45 additional days with notice
        → Search all systems using data inventory
        → python scripts/ccpa_data_mapper.py --input inventory.json

Step 5: Deliver response
        → Provide information in portable format if requested
        → Document completion and response

Step 6: Monitor compliance
        → Track response times and completion rates
        → Generate quarterly compliance reports

Workflow 3: Privacy Policy Update Cycle

Step 1: Review current privacy policy against requirements
        → python scripts/ccpa_compliance_checker.py --input profile.json
        → Check privacy_policy category score

Step 2: Update data inventory
        → python scripts/ccpa_data_mapper.py --input inventory.json
        → Verify all PI categories are disclosed

Step 3: Verify required disclosures
        → Categories of PI collected (past 12 months)
        → Sources of PI
        → Business/commercial purposes
        → Categories of third parties
        → Consumer rights description
        → "Do Not Sell or Share" link
        → "Limit the Use of My Sensitive PI" link

Step 4: Update and publish
        → Annual update at minimum
        → Update within 30 days of material changes
        → Maintain prior version archive

Regulatory Overview

CCPA/CPRA Timeline

| Date | Milestone | |------|-----------| | Jan 1, 2020 | CCPA effective | | Jul 1, 2020 | AG enforcement begins | | Nov 3, 2020 | CPRA passed (Proposition 24) | | Jan 1, 2023 | CPRA amendments effective | | Jul 1, 2023 | CPPA enforcement of CPRA begins |