Ccpa Compliance

CCPA/CPRA Compliance

Implement California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA) requirements for consumer privacy protection.

When to Use This Skill

Use this skill when you need to:

• Handle California resident data
• Implement opt-out rights
• Process consumer data requests
• Disclose data practices
• Meet privacy compliance requirements
• Document data sales/sharing

Trigger phrases: "CCPA compliance", "CPRA", "California privacy", "do not sell", "opt-out", "consumer rights", "data disclosure"

What This Skill Does

CCPA/CPRA Consumer Rights

Instructions

Step 1: Privacy Disclosure Requirements

from dataclasses import dataclass
from typing import List, Optional

@dataclass
class PrivacyDisclosure:
    """CCPA required privacy disclosures."""
    categories_collected: List[str]
    purposes: List[str]
    categories_sold: List[str]
    categories_shared: List[str]
    retention_periods: dict
    third_parties: List[str]

class PrivacyNoticeService:
    """Generate CCPA-compliant privacy notices."""

    CCPA_CATEGORIES = [
        "Identifiers",
        "Customer records",
        "Protected classifications",
        "Commercial information",
        "Biometric information",
        "Internet activity",
        "Geolocation data",
        "Audio/visual information",
        "Professional information",
        "Education information",
        "Inferences"
    ]

    def generate_privacy_notice(self) -> PrivacyDisclosure:
        """Generate required privacy notice content."""
        return PrivacyDisclosure(
            categories_collected=self._get_collected_categories(),
            purposes=self._get_collection_purposes(),
            categories_sold=self._get_sold_categories(),
            categories_shared=self._get_shared_categories(),
            retention_periods=self._get_retention_by_category(),
            third_parties=self._get_third_parties()
        )

    def generate_at_collection_notice(self, context: str) -> dict:
        """Generate notice at point of collection."""
        return {
            "categories": self._get_categories_for_context(context),
            "purposes": self._get_purposes_for_context(context),
            "sensitive_data_notice": self._check_sensitive_data(context),
            "sale_sharing_notice": self._get_sale_sharing_notice(),
            "retention_notice": self._get_retention_notice(context),
            "links": {
                "privacy_policy": "/privacy",
                "do_not_sell": "/do-not-sell",
                "limit_use": "/limit-use"
            }
        }

Step 2: Consumer Request Handling

from enum import Enum
from datetime import datetime, timedelta

class CCPARequestType(Enum):
    KNOW = "know"  # Right to know
    DELETE = "delete"  # Right to delete
    CORRECT = "correct"  # Right to correct
    OPT_OUT_SALE = "opt_out_sale"  # Opt out of sale
    OPT_OUT_SHARE = "opt_out_share"  # Opt out of sharing
    LIMIT_SENSITIVE = "limit_sensitive"  # Limit sensitive data use

class ConsumerRequestService:
    """Handle CCPA consumer requests."""

    RESPONSE_DEADLINE_DAYS = 45  # Can extend once by 45 days
    VERIFICATION_REQUIRED = True

    def submit_request(
        self,
        consumer_email: str,
        request_type: CCPARequestType,
        details: Optional[dict] = None
    ) -> ConsumerRequest:
        """Submit new consumer request."""
        request = ConsumerRequest(
            request_id=f"CCPA-{uuid.uuid4().hex[:8]}",
            consumer_id=self._identify_consumer(consumer_email),
            request_type=request_type,
            submitted_at=datetime.utcnow(),
            verified=False,
            status="pending_verification",
            due_date=datetime.utcnow() + timedelta(days=self.RESPONSE_DEADLINE_DAYS)
        )

        self.request_repository.save(request)

        # Send verification
        self._send_verification(consumer_email, request)

        audit_log.info(
            "ccpa_request_submitted",
            request_id=request.request_id,
            request_type=request_type.value
        )

        return request

    def process_know_request(self, request: ConsumerRequest) -> KnowResponse:
        """Process Right to Know request."""
        consumer_data = self._collect_consumer_data(request.consumer_id)

        response = KnowResponse(
            request_id=request.request_id,
            categories_collected=[
                {
                    "category": cat,
                    "sources": self._get_sources(cat),
                    "purposes": self._get_purposes(cat),
                    "third_parties": self._get_third_parties(cat),
                    "sold_to": self._get_sold_to(cat),
                    "shared_with": self._get_shared_with(cat)
                }
                for cat in self._categorize_data(consumer_data)
            ],
            specific_pieces=consumer_data if request.include_specific else None,
            retention_periods=self._get_retention_periods()
        )

        audit_log.info(
            "ccpa_know_processed",
            request_id=request.request_id
        )

        return response

    def process_delete_request(self, request: ConsumerRequest) -> DeleteResponse:
        """Process Right to Delete request."""
        # Check for exemptions
        exemptions = self._check_delete_exemptions(request.consumer_id)

        if exemptions:
            return DeleteResponse(
                request_id=request.request_id,
                status="partially_completed",
                deleted_categories=self._get_deletable_categories(request.consumer_id),
                retained_categories=exemptions,
                exemption_reasons=self._get_exemption_reasons(exemptions)
            )

        # Perform deletion
        deletion_results = self._delete_consumer_data(request.consumer_id)

        # Notify service providers
        self._notify_service_providers(request.consumer_id, "delete")

        return DeleteResponse(
            request_id=request.request_id,
            status="completed",
            deleted_categories=deletion_results.categories,
            deletion_confirmation=deletion_results.confirmation
        )

    def process_correct_request(
        self,
        request: ConsumerRequest,
        corrections: dict
    ) -> CorrectResponse:
        """Process Right to Correct request."""
        # Verify corrections are valid
        validation = self._validate_corrections(request.consumer_id, corrections)

        if not validation.valid:
            return CorrectResponse(
                request_id=request.request_id,
                status="rejected",
                reason=validation.reason
            )

        # Apply corrections
        correction_results = self._apply_corrections(request.consumer_id, corrections)

        # Notify service providers
        self._notify_service_providers(request.consumer_id, "correct", corrections)

        return CorrectResponse(
            request_id=request.request_id,
            status="completed",
            corrected_fields=correction_results.fields
        )

Step 3: Opt-Out Mechanisms

class OptOutService:
    """Handle CCPA opt-out requests."""

    def process_opt_out_sale(self, consumer_id: str) -> OptOutResult:
        """Process opt-out of sale of personal information."""
        # Record opt-out preference
        preference = OptOutPreference(
            consumer_id=consumer_id,
            type="sale",
            opted_out=True,
            timestamp=datetime.utcnow()
        )

        self.preference_repository.save(preference)

        # Stop selling data
        self._stop_selling(consumer_id)

        # Notify third parties
        self._notify_third_parties_stop_sale(consumer_id)

        audit_log.info(
            "ccpa_opt_out_sale",
            consumer_id=consumer_id
        )

        return OptOutResult(
            consumer_id=consumer_id,
            type="sale",
            effective_date=datetime.utcnow()
        )

    def process_opt_out_share(self, consumer_id: str) -> OptOutResult:
        """Process opt-out of sharing for cross-context behavioral advertising."""
        preference = OptOutPreference(
            consumer_id=consumer_id,
            type="share",
            opted_out=True,
            timestamp=datetime.utcnow()
        )

        self.preference_repository.save(preference)

        # Stop sharing data
        self._stop_sharing(consumer_id)

        audit_log.info(
            "ccpa_opt_out_share",
            consumer_id=consumer_id
        )

        return OptOutResult(
            consumer_id=consumer_id,
            type="share",
            effective_date=datetime.utcnow()
        )

    def process_gpc_signal(self, gpc_header: str, consumer_id: str) -> None:
        """Process Global Privacy Control signal."""
        if gpc_header == "1":
            # GPC signal present - treat as opt-out of sale/share
            self.process_opt_out_sale(consumer_id)
            self.process_opt_out_share(consumer_id)

            audit_log.info(
                "gpc_signal_processed",
                consumer_id=consumer_id
            )

    def check_opt_out_status(self, consumer_id: str) -> dict:
        """Check consumer's opt-out status."""
        return {
            "sale": self._is_opted_out(consumer_id, "sale"),
            "share": self._is_opted_out(consumer_id, "share"),
            "sensitive": self._is_limited(consumer_id, "sensitive")
        }

Step 4: Sensitive Personal Information

class SensitiveDataService:
    """Handle CPRA sensitive personal information requirements."""

    SENSITIVE_CATEGORIES = [
        "social_security_number",
        "drivers_license",
        "passport",
        "financial_account",
        "precise_geolocation",
        "racial_ethnic_origin",
        "religious_beliefs",
        "union_membership",
        "mail_email_text_content",
        "genetic_data",
        "biometric_data",
        "health_information",
        "sex_life_orientation"
    ]

    def limit_sensitive_use(self, consumer_id: str) -> LimitResult:
        """Process request to limit use of sensitive data."""
        preference = SensitiveDataPreference(
            consumer_id=consumer_id,
            limited=True,
            timestamp=datetime.utcnow()
        )

        self.preference_repository.save(preference)

        # Restrict processing
        self._restrict_sensitive_processing(consumer_id)

        audit_log.info(
            "ccpa_limit_sensitive",
            consumer_id=consumer_id
        )

        return LimitResult(
            consumer_id=consumer_id,
            effective_date=datetime.utcnow()
        )

    def check_sensitive_data_use(
        self,
        consumer_id: str,
        purpose: str
    ) -> bool:
        """Check if sensitive data can be used for purpose."""
        preference = self.preference_repository.find(consumer_id)

        if preference and preference.limited:
            # Only allow use for specific purposes
            allowed_purposes = [
                "perform_services",
                "security",
                "fraud_prevention",
                "physical_safety",
                "short_term_transient"
            ]
            return purpose in allowed_purposes

        return True

Step 5: Service Provider Requirements

class ServiceProviderAgreement:
    """CCPA service provider agreement requirements."""

    REQUIRED_CLAUSES = [
        "prohibition_on_selling",
        "prohibition_on_sharing",
        "prohibition_on_retention_beyond_purpose",
        "prohibition_on_use_outside_relationship",
        "certification_of_understanding",
        "compliance_with_ccpa",
        "notification_of_subcontractors",
        "assistance_with_consumer_requests",
        "audit_rights"
    ]

    def generate_spa_requirements(self) -> dict:
        """Generate service provider agreement requirements."""
        return {
            "required_clauses": self.REQUIRED_CLAUSES,
            "prohibited_activities": [
                "Selling personal information",
                "Sharing personal information",
                "Retaining data beyond business purpose",
                "Using data for own purposes",
                "Combining with other sources"
            ],
            "obligations": [
                "Process data only as instructed",
                "Implement reasonable security",
                "Assist with consumer requests",
                "Allow audits",
                "Notify of security incidents"
            ]
        }

    def validate_spa(self, agreement: dict) -> ValidationResult:
        """Validate service provider agreement meets CCPA requirements."""
        missing_clauses = []

        for clause in self.REQUIRED_CLAUSES:
            if clause not in agreement.get("clauses", []):
                missing_clauses.append(clause)

        return ValidationResult(
            valid=len(missing_clauses) == 0,
            missing_clauses=missing_clauses
        )

Implementation Checklist

Privacy Notice Requirements

• Categories of PI collected disclosed
• Collection purposes disclosed
• Categories sold/shared disclosed
• Third parties disclosed
• Retention periods disclosed
• "Do Not Sell/Share" link present
• "Limit Use" link present

Consumer Rights

• Right to Know process implemented
• Right to Delete process implemented
• Right to Correct process implemented
• Opt-out mechanisms active
• Limit sensitive use implemented
• Non-discrimination policy documented
• Response within 45 days

Technical Requirements

• GPC signal honored
• Cookie consent mechanism
• Opt-out preference center
• Verification process
• Request tracking system

Quality Checklist

• Privacy policy CCPA-compliant
• Required links present on homepage
• Consumer request process tested
• Service provider agreements updated
• Employee training completed
• Record-keeping implemented
• Audit trail maintained
• Annual data inventory updated

Related Skills

• gdpr-compliance - EU privacy compliance
• soc2-compliance - SOC 2 privacy criteria
• security-review - Security controls

Version: 1.0.0 Last Updated: December 2025 Based on: AI Templates compliance_governance/privacy_protection/

Iterative Refinement Strategy

This skill is optimized for an iterative approach:

1. Execute: Perform the core steps defined above.
2. Review: Critically analyze the output (coverage, quality, completeness).
3. Refine: If targets aren't met, repeat the specific implementation steps with improved context.
4. Loop: Continue until the definition of done is satisfied.