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name: ccpa-cpra-privacy-expert description: > CCPA and CPRA California privacy compliance. Use for CCPA/CPRA readiness assessments, personal information data mapping, consumer rights handling, privacy policy review, opt-out mechanisms, and California privacy audits. license: MIT + Commons Clause metadata: version: 1.0.0 author: borghei category: compliance domain: privacy-compliance updated: 2026-03-31 tags: [ccpa, cpra, california-privacy, data-mapping, opt-out]

CCPA/CPRA Privacy Expert

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

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Table of Contents

• Tools
  • CCPA Compliance Checker
  • CCPA Data Mapper
• Reference Guides
• Workflows
• Regulatory Overview

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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

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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

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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

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Clarify First

Before running the assessment, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Applicability — whether the business meets a CCPA threshold ($25M revenue, 100K+ consumers/households, or 50%+ revenue from selling/sharing PI) (determines whether obligations apply at all)
• Entity role — business, service provider, contractor, or third party (determines which obligation set applies)
• Assessment goal — compliance readiness, data mapping, consumer-request handling, or privacy-policy review (selects the tool and workflow)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the assessment.

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

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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
2026	Employment and B2B data exemptions status review

Scope and Applicability

A business is subject to CCPA/CPRA if it:

• Has annual gross revenue exceeding $25 million
• Buys, sells, or shares PI of 100,000+ consumers or households annually
• Derives 50% or more of annual revenue from selling or sharing consumers' PI

Entity Types:

Entity	Definition	Obligations
Business	Determines purposes and means of processing	Full CCPA/CPRA compliance
Service Provider	Processes PI on behalf of a business (contractual)	Limited use, deletion obligations
Contractor	Processes PI via written contract (CPRA addition)	Certification, limited use, audit rights
Third Party	Receives PI not as service provider/contractor	Subject to opt-out rights

Exemptions:

• HIPAA-covered entities: Health data governed by HIPAA exempt
• GLBA: Financial data subject to GLBA exempt
• Employment data: Employee/applicant PI (subject to review through 2026)
• B2B data: Business contact PI in B2B transactions (subject to review through 2026)
• FCRA: Data subject to Fair Credit Reporting Act

Consumer Rights

Right	CCPA Section	Description	Timeline
Right to Know	§1798.100, §1798.110	Categories and specific pieces of PI collected	45 days
Right to Delete	§1798.105	Delete PI collected from the consumer	45 days
Right to Opt-Out	§1798.120	Opt out of sale or sharing of PI	Immediate
Right to Non-Discrimination	§1798.125	No retaliation for exercising rights	Ongoing
Right to Correct	§1798.106	Correct inaccurate PI (CPRA)	45 days
Right to Limit SPI Use	§1798.121	Limit use of sensitive PI (CPRA)	Immediate
Right to Data Portability	§1798.130	Receive PI in portable format (CPRA)	45 days

Sensitive Personal Information (CPRA)

SPI categories requiring enhanced protections under CPRA §1798.140(ae):

• Social Security number, driver's license, state ID, passport number
• Account log-in credentials (username + password/security question)
• Financial account number with access credentials
• Precise geolocation (within 1,850 feet / radius)
• Racial or ethnic origin
• Religious or philosophical beliefs
• Union membership
• Contents of mail, email, and text messages (unless business is intended recipient)
• Genetic data
• Biometric data for identification
• Health information
• Sex life or sexual orientation data

Enforcement and Penalties

Violation Type	Penalty	Enforcer
Unintentional violation	$2,500 per violation	CPPA / AG
Intentional violation	$7,500 per violation	CPPA / AG
Violations involving minors (under 16)	$7,500 per violation	CPPA / AG
Data breach (private action)	$100-$750 per consumer per incident	Consumer (court)

Enforcement Bodies:

• California Privacy Protection Agency (CPPA): Primary enforcer under CPRA (operational 2023)
• California Attorney General: Retains enforcement authority
• Private right of action: Limited to data breaches from failure to maintain reasonable security

CCPA vs GDPR Comparison

Aspect	CCPA/CPRA	GDPR
Scope	California consumers	EU/EEA data subjects
Legal basis	Opt-out model	Opt-in (consent or legal basis)
Data covered	Personal information	Personal data
Sensitive data	SPI with limit-use right	Special category with explicit consent
Breach notification	AG notification, private action	72-hour DPA notification
DPO requirement	None	Required for certain processing
Penalties	$2,500-$7,500 per violation	Up to 4% global revenue or €20M
Private right of action	Data breaches only	Varies by member state
Cross-border transfers	No restrictions	Adequacy decisions, SCCs, BCRs
Children's data	Opt-in for under 16, parental for under 13	Parental consent for under 16 (variable)

Infrastructure Privacy Controls

Cookie Consent Management:

• Implement cookie consent banner for non-essential cookies
• Honor Global Privacy Control (GPC) browser signals (legally required)
• Maintain cookie inventory with retention periods
• Categorize cookies: strictly necessary, functional, analytics, advertising

Global Privacy Control (GPC):

• Businesses must treat GPC signal as valid opt-out request (§1798.135)
• Technical implementation: detect Sec-GPC: 1 header or navigator.globalPrivacyControl
• Apply opt-out to sale AND sharing of PI
• No re-authentication required for GPC

Privacy by Design:

• Data minimization: collect only PI necessary for disclosed purposes
• Purpose limitation: use PI only for purposes disclosed at collection
• Storage limitation: retain PI only as long as necessary
• Security by default: encrypt PI at rest and in transit

Data Inventory and Mapping:

• Maintain comprehensive PI inventory across all systems
• Map data flows: collection → processing → sharing → deletion
• Document retention schedules per PI category
• Track cross-border data transfers

Automated Decision-Making:

• Disclose use of automated decision-making technology
• Provide opt-out for profiling that produces legal or significant effects
• CPRA regulations may require access to logic of automated decisions

Compliance Roadmap

Month 1-2: Discovery and Assessment

• Determine CCPA/CPRA applicability
• Conduct data inventory and mapping
• Gap analysis against requirements
• Assign compliance ownership

Month 3-4: Implementation

• Draft/update privacy policy
• Implement "Do Not Sell or Share" link
• Implement "Limit Use of SPI" link
• Deploy GPC signal detection
• Build consumer request intake and fulfillment workflows
• Draft service provider/contractor agreements

Month 5-6: Operationalization

• Train employees on privacy obligations
• Test consumer request workflows end-to-end
• Conduct initial risk assessment
• Plan annual cybersecurity audit
• Establish ongoing monitoring and metrics
• Document compliance program for regulatory defense

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Troubleshooting

Problem	Possible Cause	Resolution
Compliance score unexpectedly low despite privacy policy updates	Policy disclosures incomplete -- missing SPI categories, retention periods, or sale/sharing categories	Run ccpa_compliance_checker.py --input profile.json and review per-category scores; cross-reference privacy policy against the 17+ required disclosure elements
Data mapper flags cross-border transfers but organization operates only in US	Data inventory includes cloud services with non-US processing locations	Review data inventory entries for cloud provider data processing locations; document all sub-processor locations per service provider agreements
Consumer rights requests consistently exceed 45-day response deadline	Manual fulfillment process without tracking system or unclear ownership	Implement ccpa_data_mapper.py to map PI across all systems; deploy request tracking with automated deadline alerts; assign per-system data stewards
GPC signal detection not working	Application does not check Sec-GPC: 1 header or navigator.globalPrivacyControl	Implement server-side header detection and client-side JavaScript check; test with browsers that support GPC (Firefox, Brave); log detection events
CPPA enforcement inquiry received	Potential compliance gap discovered during regulatory sweep or consumer complaint	Immediately run full compliance assessment; prioritize critical gaps (opt-out link, GPC, privacy policy); engage privacy counsel; document remediation timeline
Vendor contracts missing CCPA-required provisions	Service provider agreements predate CPRA amendments	Audit all vendor agreements against CCPA service provider/contractor requirements; update contracts to include certification, limited use, audit rights, and data deletion obligations
Risk assessment requirements unclear	New CPRA regulations (effective January 1, 2026) mandate risk assessments for six processing categories	Review processing activities against the six "significant risk" categories; document risk assessments per CPPA regulatory template; plan for April 2028 attestation deadline

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Success Criteria

• Overall compliance score of 80+ on initial assessment -- indicating foundational CCPA/CPRA controls are in place, with per-category scores identifying targeted remediation areas
• All consumer rights requests fulfilled within 45 calendar days -- with 10-business-day acknowledgment, tracked through a request management system with automated deadline alerts
• Privacy policy updated at least annually -- with documented reviews quarterly, disclosing all 11 PI categories collected, sources, purposes, third-party sharing, and all seven consumer rights
• GPC signal honored automatically -- detected via Sec-GPC: 1 header and navigator.globalPrivacyControl, applied to both sale and sharing of PI, with no re-authentication required
• Complete data inventory maintained -- all PI categories mapped to collection sources, business purposes, sharing recipients, and retention schedules using ccpa_data_mapper.py
• Service provider and contractor agreements include all CCPA-required provisions -- including certification of limited use, deletion obligations, audit rights, and sub-contractor chain documentation
• Risk assessments completed for all applicable processing activities -- covering the six CPRA significant-risk categories, with attestation readiness by the April 2028 deadline

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Scope & Limitations

In Scope:

• CCPA/CPRA applicability determination (revenue, consumer count, PI revenue thresholds)
• Privacy policy compliance assessment against all required disclosures
• Consumer rights readiness validation (Know, Delete, Opt-Out, Correct, Portability, Limit SPI Use)
• Data inventory mapping across all 11 CCPA personal information categories
• Sensitive personal information identification per CPRA definitions
• Technical safeguard assessment (encryption, access controls, opt-out mechanisms)
• Service provider and contractor agreement requirements

Out of Scope:

• Legal advice or determination of exemption applicability (HIPAA, GLBA, FCRA, employment data) -- consult privacy counsel for exemption analysis
• Implementation of cookie consent management platforms or GPC signal handling code
• CCPA private right of action defense (data breach litigation) -- consult legal counsel
• Other state privacy laws (Virginia VCDPA, Colorado CPA, Connecticut CTDPA) beyond the comparison tables provided -- use jurisdiction-specific guidance
• Automated decision-making technology (ADMT) compliance under CPRA regulations effective January 2027 -- monitor CPPA rulemaking for final requirements

Important Notes:

• CPPA enforcement is escalating significantly in 2025-2026, with fines exceeding $1.3M in individual cases and joint multi-state enforcement sweeps targeting GPC non-compliance
• New CPRA regulations effective January 1, 2026 add risk assessment, cybersecurity audit, and updated compliance requirements -- plan implementation accordingly

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Integration Points

Skill	Integration	When to Use
gdpr-dsgvo-expert	Unified privacy program satisfying both GDPR and CCPA; cross-framework privacy mapping	When organization operates in both EU and California markets
infrastructure-compliance-auditor	Technical safeguard validation (encryption, access controls, logging) for CCPA reasonable security	When assessing infrastructure controls supporting CCPA compliance
information-security-manager-iso27001	Security controls supporting CCPA "reasonable security" requirement	When building security program that satisfies both ISO 27001 and CCPA
soc2-compliance-expert	SOC 2 controls mapped to CCPA technical safeguard requirements	When SOC 2 audit evidence supports CCPA security compliance

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Tool Reference

ccpa_compliance_checker.py

Evaluates organizational readiness against all CCPA/CPRA requirements across 8 assessment categories.

Flag	Required	Description
--input <file>	Yes (unless --template)	Path to JSON company profile for assessment
--template	No	Generate blank input template to stdout
--json	No	Output results in JSON format for automation
--output <file>	No	Export report to specified file path

Output: Overall compliance score (0-100), per-category scores with pass/fail/partial status, prioritized findings with regulatory references, and remediation recommendations.

ccpa_data_mapper.py

Maps personal information categories, tracks data flows, and generates data inventory reports.

Flag	Required	Description
--input <file>	Yes (unless --template)	Path to JSON data inventory for mapping
--template	No	Generate blank inventory template to stdout
--output <file>	No	Export mapping report to specified file path
--flow-diagram	No	Generate text-based data flow diagram showing collection, use, sharing, and selling paths

Output: PI category mapping across all 11 CCPA categories, SPI identification, data flow analysis (sources, purposes, recipients), cross-border transfer flags, and data retention gap detection.