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**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

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**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 |

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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

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

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