use crate::core::Result;
use crate::engine::Mission;
use super::compliance_engine::{GDPRComplianceEngine, GDPRCertificationResult, EUMarketEntryReport};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use chrono::{DateTime, Utc};
pub struct GDPRCustomerTools {
engine: GDPRComplianceEngine,
template_cache: HashMap<String, String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GDPRComplianceToolkit {
pub privacy_policy_template: String,
pub data_processing_agreement_template: String,
pub consent_management_template: String,
pub data_subject_request_templates: HashMap<String, String>,
pub breach_notification_template: String,
pub dpia_template: String,
pub automated_compliance_checklist: Vec<ComplianceChecklistItem>,
pub implementation_guide: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComplianceChecklistItem {
pub id: String,
pub title: String,
pub description: String,
pub article_reference: String,
pub priority: ChecklistPriority,
pub implementation_steps: Vec<String>,
pub automation_available: bool,
pub estimated_hours: u32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ChecklistPriority {
Critical, High, Medium, Low, }
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CustomerReadinessAssessment {
pub organization_name: String,
pub assessment_date: DateTime<Utc>,
pub overall_readiness_score: f64,
pub eu_market_entry_timeline: String,
pub critical_blockers: Vec<String>,
pub recommended_actions: Vec<String>,
pub budget_estimate: BudgetEstimate,
pub certification_timeline: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BudgetEstimate {
pub technical_implementation: u32,
pub legal_consultation: u32,
pub staff_training: u32,
pub ongoing_compliance: u32,
pub total_first_year: u32,
pub annual_maintenance: u32,
}
impl GDPRCustomerTools {
pub fn new() -> Self {
Self {
engine: GDPRComplianceEngine::new(),
template_cache: HashMap::new(),
}
}
pub async fn generate_compliance_toolkit(&mut self, mission: &Mission) -> Result<GDPRComplianceToolkit> {
Ok(GDPRComplianceToolkit {
privacy_policy_template: self.generate_privacy_policy_template().await?,
data_processing_agreement_template: self.generate_dpa_template().await?,
consent_management_template: self.generate_consent_template().await?,
data_subject_request_templates: self.generate_dsr_templates().await?,
breach_notification_template: self.generate_breach_template().await?,
dpia_template: self.generate_dpia_template().await?,
automated_compliance_checklist: self.generate_compliance_checklist(mission).await?,
implementation_guide: self.generate_implementation_guide().await?,
})
}
pub async fn assess_customer_readiness(&self, mission: &Mission, org_name: &str) -> Result<CustomerReadinessAssessment> {
let certification = self.engine.certify_gdpr_compliance(mission).await?;
let market_entry_report = self.engine.generate_eu_market_entry_report(mission).await?;
Ok(CustomerReadinessAssessment {
organization_name: org_name.to_string(),
assessment_date: Utc::now(),
overall_readiness_score: certification.compliance_score,
eu_market_entry_timeline: self.calculate_market_entry_timeline(&market_entry_report),
critical_blockers: market_entry_report.blockers,
recommended_actions: market_entry_report.recommendations,
budget_estimate: self.calculate_budget_estimate(&certification),
certification_timeline: self.calculate_certification_timeline(&certification),
})
}
async fn generate_compliance_checklist(&self, mission: &Mission) -> Result<Vec<ComplianceChecklistItem>> {
let certification = self.engine.certify_gdpr_compliance(mission).await?;
let mut checklist = Vec::new();
checklist.extend(self.generate_critical_checklist_items(&certification));
checklist.extend(self.generate_high_priority_items(&certification));
checklist.extend(self.generate_medium_priority_items(&certification));
checklist.extend(self.generate_low_priority_items(&certification));
Ok(checklist)
}
fn generate_critical_checklist_items(&self, _certification: &GDPRCertificationResult) -> Vec<ComplianceChecklistItem> {
vec![
ComplianceChecklistItem {
id: "legal_basis_documentation".to_string(),
title: "Document Legal Basis for Processing".to_string(),
description: "Identify and document the legal basis for all personal data processing activities".to_string(),
article_reference: "GDPR Article 6".to_string(),
priority: ChecklistPriority::Critical,
implementation_steps: vec![
"Review all data processing activities".to_string(),
"Map each activity to appropriate legal basis".to_string(),
"Document legal basis assessments".to_string(),
"Update privacy policy with legal basis information".to_string(),
],
automation_available: true,
estimated_hours: 40,
},
ComplianceChecklistItem {
id: "data_subject_rights_portal".to_string(),
title: "Implement Data Subject Rights Portal".to_string(),
description: "Create automated system for handling data subject requests (access, rectification, erasure)".to_string(),
article_reference: "GDPR Articles 15-22".to_string(),
priority: ChecklistPriority::Critical,
implementation_steps: vec![
"Design data subject request portal UI".to_string(),
"Implement automated request processing".to_string(),
"Create response templates for each right".to_string(),
"Integrate with existing data systems".to_string(),
"Test 30-day response timeframes".to_string(),
],
automation_available: true,
estimated_hours: 80,
},
ComplianceChecklistItem {
id: "privacy_by_design_architecture".to_string(),
title: "Implement Privacy by Design Architecture".to_string(),
description: "Embed privacy protections into system design from the ground up".to_string(),
article_reference: "GDPR Article 25".to_string(),
priority: ChecklistPriority::Critical,
implementation_steps: vec![
"Conduct privacy impact assessment".to_string(),
"Design data minimization controls".to_string(),
"Implement privacy-preserving defaults".to_string(),
"Create pseudonymization mechanisms".to_string(),
"Add encryption for all personal data".to_string(),
],
automation_available: true,
estimated_hours: 120,
},
]
}
fn generate_high_priority_items(&self, _certification: &GDPRCertificationResult) -> Vec<ComplianceChecklistItem> {
vec![
ComplianceChecklistItem {
id: "breach_notification_system".to_string(),
title: "Implement Breach Notification System".to_string(),
description: "Automated system for detecting and reporting personal data breaches".to_string(),
article_reference: "GDPR Articles 33-34".to_string(),
priority: ChecklistPriority::High,
implementation_steps: vec![
"Deploy automated breach detection".to_string(),
"Create notification workflows".to_string(),
"Prepare regulator notification templates".to_string(),
"Train incident response team".to_string(),
],
automation_available: true,
estimated_hours: 60,
},
ComplianceChecklistItem {
id: "consent_management_system".to_string(),
title: "Deploy Consent Management System".to_string(),
description: "Granular consent collection, management, and withdrawal system".to_string(),
article_reference: "GDPR Article 7".to_string(),
priority: ChecklistPriority::High,
implementation_steps: vec![
"Design consent collection interfaces".to_string(),
"Implement granular consent controls".to_string(),
"Create easy withdrawal mechanisms".to_string(),
"Add consent audit trails".to_string(),
],
automation_available: true,
estimated_hours: 50,
},
]
}
fn generate_medium_priority_items(&self, _certification: &GDPRCertificationResult) -> Vec<ComplianceChecklistItem> {
vec![
ComplianceChecklistItem {
id: "staff_training_program".to_string(),
title: "GDPR Staff Training Program".to_string(),
description: "Comprehensive GDPR training for all staff handling personal data".to_string(),
article_reference: "GDPR Article 32".to_string(),
priority: ChecklistPriority::Medium,
implementation_steps: vec![
"Develop GDPR training materials".to_string(),
"Create role-specific training modules".to_string(),
"Implement training tracking system".to_string(),
"Schedule regular refresher training".to_string(),
],
automation_available: false,
estimated_hours: 30,
},
ComplianceChecklistItem {
id: "vendor_management_program".to_string(),
title: "Third-Party Vendor GDPR Management".to_string(),
description: "Due diligence and management of third-party data processors".to_string(),
article_reference: "GDPR Article 28".to_string(),
priority: ChecklistPriority::Medium,
implementation_steps: vec![
"Audit all third-party vendors".to_string(),
"Update data processing agreements".to_string(),
"Implement vendor compliance monitoring".to_string(),
"Create vendor incident response procedures".to_string(),
],
automation_available: false,
estimated_hours: 40,
},
]
}
fn generate_low_priority_items(&self, _certification: &GDPRCertificationResult) -> Vec<ComplianceChecklistItem> {
vec![
ComplianceChecklistItem {
id: "privacy_certification".to_string(),
title: "Pursue Privacy Certification (ISO 27001, etc.)".to_string(),
description: "Obtain third-party privacy and security certifications".to_string(),
article_reference: "GDPR Article 42".to_string(),
priority: ChecklistPriority::Low,
implementation_steps: vec![
"Research applicable certification schemes".to_string(),
"Engage certification body".to_string(),
"Prepare certification documentation".to_string(),
"Complete certification audit".to_string(),
],
automation_available: false,
estimated_hours: 200,
},
]
}
async fn generate_privacy_policy_template(&mut self) -> Result<String> {
if let Some(cached) = self.template_cache.get("privacy_policy") {
return Ok(cached.clone());
}
let template = r#"
# Privacy Policy Template (GDPR Compliant)
## 1. Data Controller Information
**Company Name:** [YOUR_COMPANY_NAME]
**Address:** [YOUR_ADDRESS]
**Contact:** [PRIVACY_CONTACT_EMAIL]
**Data Protection Officer:** [DPO_CONTACT] (if applicable)
## 2. Legal Basis for Processing (Article 6)
We process your personal data based on the following legal bases:
- **Consent:** For marketing communications and optional services
- **Contract:** For service delivery and customer relationship management
- **Legitimate Interests:** For fraud prevention and service improvement
- **Legal Obligation:** For compliance with tax and regulatory requirements
## 3. Categories of Personal Data We Process
- **Identity Data:** Name, username, title, date of birth
- **Contact Data:** Billing address, delivery address, email address, telephone numbers
- **Financial Data:** Bank account and payment card details
- **Transaction Data:** Details about payments and services you have purchased
- **Technical Data:** Internet protocol (IP) address, login data, browser type and version
- **Profile Data:** Username and password, purchases, preferences, feedback and survey responses
- **Usage Data:** Information about how you use our website, products and services
- **Marketing Data:** Your preferences in receiving marketing from us
## 4. How We Use Your Personal Data
We will only use your personal data when the law allows us to. Most commonly:
- To provide services and fulfill contracts
- For legitimate business interests (provided your interests don't override ours)
- To comply with legal obligations
- Where you have given consent
## 5. Your Rights Under GDPR (Articles 15-22)
You have the right to:
- **Access** your personal data (Article 15)
- **Rectify** inaccurate personal data (Article 16)
- **Erase** your personal data (Article 17)
- **Restrict** processing of your personal data (Article 18)
- **Data portability** (Article 20)
- **Object** to processing (Article 21)
- **Automated decision-making safeguards** (Article 22)
To exercise these rights, contact us at [PRIVACY_CONTACT_EMAIL]
## 6. Data Retention
We will only retain your personal data for as long as necessary to fulfill the purposes we collected it for, including for the purposes of satisfying any legal, accounting, or reporting requirements.
## 7. Data Security (Article 32)
We have implemented appropriate technical and organizational measures to protect your personal data:
- Encryption of data in transit and at rest
- Access controls and authentication systems
- Regular security testing and monitoring
- Staff training on data protection
- Incident response procedures
## 8. International Transfers (Articles 44-49)
If we transfer your personal data outside the European Economic Area (EEA), we ensure adequate protection through:
- Adequacy decisions by the European Commission
- Standard contractual clauses approved by the European Commission
- Binding corporate rules (where applicable)
## 9. Automated Decision-Making (Article 22)
We may use automated decision-making in the following circumstances:
- [DESCRIBE ANY AUTOMATED DECISION-MAKING]
- You have the right to request human intervention in such decisions
## 10. Contact Information
For any questions about this privacy policy or our data protection practices:
- **Email:** [PRIVACY_CONTACT_EMAIL]
- **Phone:** [PRIVACY_CONTACT_PHONE]
- **Data Protection Officer:** [DPO_CONTACT] (if applicable)
- **Supervisory Authority:** [RELEVANT_DATA_PROTECTION_AUTHORITY]
## 11. Changes to This Policy
We may update this privacy policy from time to time. We will notify you of any significant changes by posting the new policy on our website and updating the "last updated" date.
**Last Updated:** [DATE]
"#;
self.template_cache.insert("privacy_policy".to_string(), template.to_string());
Ok(template.to_string())
}
async fn generate_dpa_template(&mut self) -> Result<String> {
if let Some(cached) = self.template_cache.get("dpa") {
return Ok(cached.clone());
}
let template = r#"
# Data Processing Agreement Template (Article 28 GDPR)
## 1. Parties
**Data Controller:** [CUSTOMER_COMPANY_NAME]
**Data Processor:** [VENDOR_COMPANY_NAME]
## 2. Subject Matter and Duration
**Subject Matter:** [DESCRIPTION_OF_PROCESSING]
**Duration:** [START_DATE] to [END_DATE]
## 3. Nature and Purpose of Processing
- **Nature:** [e.g., storage, analysis, transmission]
- **Purpose:** [e.g., customer service, analytics, marketing]
- **Categories of Data Subjects:** [e.g., customers, employees, prospects]
## 4. Categories of Personal Data
- Identity data (name, employee ID, etc.)
- Contact information (email, phone, address)
- [ADD_OTHER_CATEGORIES_AS_APPLICABLE]
## 5. Processor Obligations (Article 28.3)
The Processor shall:
- Process personal data only on documented instructions from the Controller
- Ensure personnel are committed to confidentiality
- Implement appropriate technical and organizational measures
- Respect conditions for engaging sub-processors
- Assist the Controller in ensuring compliance with Articles 32-36
- Delete or return personal data at the end of processing
- Make available all information necessary to demonstrate compliance
## 6. Technical and Organizational Measures (Article 32)
- **Encryption:** AES-256 encryption for data at rest and in transit
- **Access Controls:** Role-based access with multi-factor authentication
- **Monitoring:** Continuous monitoring and audit logging
- **Backup:** Secure backup and disaster recovery procedures
- **Training:** Regular staff training on data protection
## 7. Sub-Processing
- The Processor may engage sub-processors only with prior written authorization
- All sub-processors must be bound by equivalent data protection obligations
- The Processor remains fully liable for sub-processor performance
## 8. Data Subject Rights (Articles 15-22)
The Processor shall assist the Controller in responding to data subject requests:
- Provide technical and organizational measures to facilitate rights exercise
- Respond to Controller requests within 10 business days
- Implement automated systems where technically feasible
## 9. Personal Data Breach (Articles 33-34)
The Processor shall:
- Notify the Controller of any breach without undue delay (max 72 hours)
- Provide all relevant information about the breach
- Assist in breach notification to supervisory authorities and data subjects
- Implement measures to mitigate breach effects
## 10. Data Protection Impact Assessment (Article 35)
The Processor shall assist the Controller in conducting DPIAs by providing:
- Technical documentation of processing operations
- Risk assessment information
- Mitigation measure recommendations
## 11. Compliance Monitoring and Audits
- The Controller may conduct audits of Processor compliance
- The Processor shall provide access to relevant information and facilities
- Audits may be conducted by qualified third parties
## 12. International Data Transfers
If processing involves transfers outside the EEA:
- Adequate protection measures are in place (adequacy decision, SCCs, BCRs)
- Transfer mechanisms are documented and maintained
- Additional safeguards implemented where necessary
## 13. Termination
Upon termination of processing:
- Personal data shall be deleted within 30 days
- Certified deletion confirmation provided to Controller
- Backup data deleted according to retention schedule
## Signatures
**Controller:** _________________ Date: _______
**Processor:** _________________ Date: _______
"#;
self.template_cache.insert("dpa".to_string(), template.to_string());
Ok(template.to_string())
}
async fn generate_consent_template(&mut self) -> Result<String> {
if let Some(cached) = self.template_cache.get("consent") {
return Ok(cached.clone());
}
let template = r#"
# Consent Management System Template (Articles 7, 8 GDPR)
## Consent Collection Interface
### Primary Consent
"We process your personal data for the following purposes. Please indicate your consent for each:"
**Service Delivery (Required)**
☐ I consent to the processing of my personal data necessary to provide the requested services
**Legal Basis:** Contract performance (Article 6.1.b)
**Marketing Communications (Optional)**
☐ I consent to receiving marketing communications about our products and services
**Legal Basis:** Consent (Article 6.1.a)
**Withdrawal:** You can withdraw this consent at any time by [WITHDRAWAL_METHOD]
**Analytics and Improvement (Optional)**
☐ I consent to the analysis of my usage data to improve our services
**Legal Basis:** Consent (Article 6.1.a)
**Withdrawal:** You can withdraw this consent at any time by [WITHDRAWAL_METHOD]
### Granular Consent Controls
- ☐ Email marketing
- ☐ SMS marketing
- ☐ Phone marketing
- ☐ Personalized recommendations
- ☐ Third-party integrations
- ☐ Data sharing with partners
### Special Category Data (Article 9)
If processing special category data:
☐ I explicitly consent to the processing of [SPECIFY_SPECIAL_CATEGORY_DATA] for [SPECIFIC_PURPOSE]
## Consent Management Features
### Consent Recording
- **Timestamp:** Record exact time of consent
- **Version:** Track privacy policy version consented to
- **Method:** Record how consent was obtained (website, app, phone, etc.)
- **Evidence:** Maintain proof of consent (IP address, user agent, etc.)
### Consent Withdrawal
- **Easy Access:** Prominent withdrawal options in all communications
- **Immediate Effect:** Withdrawal takes effect immediately
- **Confirmation:** Send confirmation of successful withdrawal
- **Retention:** Stop all processing except legal obligations
### Consent Refresh
- **Annual Review:** Request consent renewal annually
- **Policy Changes:** Re-consent when privacy policy changes materially
- **New Purposes:** Separate consent for new processing purposes
## Technical Implementation
### Database Schema
```sql
CREATE TABLE consent_records (
id UUID PRIMARY KEY,
user_id VARCHAR(255) NOT NULL,
purpose VARCHAR(255) NOT NULL,
consent_given BOOLEAN NOT NULL,
consent_timestamp TIMESTAMP NOT NULL,
withdrawal_timestamp TIMESTAMP NULL,
privacy_policy_version VARCHAR(50) NOT NULL,
collection_method VARCHAR(100) NOT NULL,
ip_address INET,
user_agent TEXT,
evidence_hash VARCHAR(256)
);
```
### API Endpoints
- `POST /consent/record` - Record new consent
- `POST /consent/withdraw` - Withdraw consent
- `GET /consent/status` - Check current consent status
- `POST /consent/refresh` - Request consent renewal
### Automated Workflows
1. **Consent Expiry Monitoring:** Check for expired consents daily
2. **Withdrawal Processing:** Immediate data processing cessation
3. **Audit Trail Generation:** Cryptographic proof of consent history
4. **Compliance Reporting:** Regular consent compliance reports
"#;
self.template_cache.insert("consent".to_string(), template.to_string());
Ok(template.to_string())
}
async fn generate_dsr_templates(&mut self) -> Result<HashMap<String, String>> {
let mut templates = HashMap::new();
templates.insert("access_request".to_string(), r#"
# Data Subject Access Request Response Template (Article 15)
Dear [DATA_SUBJECT_NAME],
Thank you for your data subject access request received on [REQUEST_DATE].
## Personal Data We Hold About You
### Identity Information
- Name: [NAME]
- Email: [EMAIL]
- Account Created: [CREATION_DATE]
- Last Login: [LAST_LOGIN]
### Processing Purposes
We process your personal data for the following purposes:
1. **Service Delivery** (Legal Basis: Contract - Article 6.1.b)
- Account management and customer service
- Product/service delivery
2. **Legal Compliance** (Legal Basis: Legal Obligation - Article 6.1.c)
- Tax reporting and financial compliance
- Regulatory reporting requirements
### Data Categories and Sources
- **Directly Provided:** Information you provided during registration and usage
- **Automatically Collected:** Usage analytics, technical logs, IP addresses
- **Third-Party Sources:** [SPECIFY_IF_APPLICABLE]
### Data Recipients
Your personal data may be shared with:
- Service providers (cloud hosting, payment processing)
- Legal and professional advisors
- Regulatory authorities (when required by law)
### Retention Periods
- Account data: Retained while account is active + 7 years for legal compliance
- Marketing data: Retained until consent is withdrawn
- Technical logs: Retained for 12 months
### Your Rights
You have the right to:
- Request rectification of inaccurate data
- Request erasure of your data
- Request restriction of processing
- Object to processing
- Data portability
- Withdraw consent (where applicable)
**Response Date:** [RESPONSE_DATE]
**Valid Until:** [VALIDITY_DATE] (3 months from response date)
If you have any questions about this response, please contact us at [PRIVACY_EMAIL].
Sincerely,
[PRIVACY_TEAM_NAME]
"#.to_string());
templates.insert("erasure_response".to_string(), r#"
# Right to Erasure Response Template (Article 17)
Dear [DATA_SUBJECT_NAME],
We have received your request for erasure of your personal data on [REQUEST_DATE].
## Erasure Decision
☐ **Request Approved** - Your personal data has been erased as requested
☐ **Request Partially Approved** - Some data has been erased, exceptions noted below
☐ **Request Denied** - Erasure cannot be completed, reasons provided below
## Data Erased
- Account information and profile data
- Communication history and preferences
- Usage analytics and behavioral data
- Marketing and consent records
## Data Retained (If Applicable)
The following data is retained for legitimate reasons:
- **Financial records** - Retained for 7 years for tax compliance (Article 17.3.b)
- **Legal claims** - Retained for defense of legal claims (Article 17.3.e)
- **Backup systems** - Will be erased in next scheduled backup rotation (max 30 days)
## Actions Taken
1. Primary database records deleted on [DELETION_DATE]
2. Third-party processors notified of erasure request
3. Backup system erasure scheduled for [BACKUP_DELETION_DATE]
4. Marketing systems updated to prevent further contact
## Confirmation
This confirms that your erasure request has been processed according to GDPR requirements.
**Processing Date:** [PROCESSING_DATE]
**Completion Date:** [COMPLETION_DATE]
If you have any questions, please contact us at [PRIVACY_EMAIL].
Sincerely,
[PRIVACY_TEAM_NAME]
"#.to_string());
templates.insert("rectification_response".to_string(), r#"
# Data Rectification Response Template (Article 16)
Dear [DATA_SUBJECT_NAME],
We have processed your request to rectify your personal data received on [REQUEST_DATE].
## Changes Made
The following personal data has been updated in our systems:
**Before:**
- [FIELD_NAME]: [OLD_VALUE]
- [FIELD_NAME]: [OLD_VALUE]
**After:**
- [FIELD_NAME]: [NEW_VALUE]
- [FIELD_NAME]: [NEW_VALUE]
## Systems Updated
- Primary customer database: ✓ Updated
- Marketing systems: ✓ Updated
- Third-party processors: ✓ Notified
- Backup systems: ✓ Will be updated in next cycle
## Verification
We have verified the accuracy of the new information provided and updated our records accordingly.
**Update Date:** [UPDATE_DATE]
**Verification Method:** [HOW_VERIFIED]
If you notice any remaining inaccuracies, please contact us at [PRIVACY_EMAIL].
Sincerely,
[PRIVACY_TEAM_NAME]
"#.to_string());
Ok(templates)
}
async fn generate_breach_template(&mut self) -> Result<String> {
if let Some(cached) = self.template_cache.get("breach") {
return Ok(cached.clone());
}
let template = r#"
# Personal Data Breach Notification Template (Articles 33-34)
## URGENT: Personal Data Breach Notification
### Incident Summary
**Incident ID:** [INCIDENT_ID]
**Discovery Date:** [DISCOVERY_DATE]
**Notification Date:** [NOTIFICATION_DATE]
**Affected Individuals:** [NUMBER_OF_INDIVIDUALS]
### Breach Details
**Type of Breach:**
- ☐ Confidentiality breach (unauthorized access/disclosure)
- ☐ Integrity breach (unauthorized alteration)
- ☐ Availability breach (accidental/unlawful destruction)
**Categories of Data Affected:**
- ☐ Identity data (names, addresses, phone numbers)
- ☐ Financial data (payment information, bank details)
- ☐ Sensitive data (health, biometric, political opinions)
- ☐ Technical data (IP addresses, login credentials)
### Impact Assessment
**Risk to Data Subjects:** [HIGH/MEDIUM/LOW]
**Potential Consequences:**
- [LIST_POTENTIAL_HARMS]
- [IDENTITY_THEFT_RISK]
- [FINANCIAL_LOSS_RISK]
### Measures Taken
**Immediate Response:**
1. [IMMEDIATE_CONTAINMENT_ACTIONS]
2. [SECURITY_INCIDENT_ESCALATION]
3. [AFFECTED_SYSTEMS_ISOLATION]
**Remediation:**
1. [SECURITY_VULNERABILITY_FIXES]
2. [ADDITIONAL_SECURITY_MEASURES]
3. [MONITORING_ENHANCEMENTS]
### Data Subject Notification (Article 34)
☐ **High Risk Determined** - Individual notifications sent
☐ **No High Risk** - No individual notification required
☐ **Public Communication** - Public announcement made (if individual notification not feasible)
**Notification Method:** [EMAIL/LETTER/WEBSITE_NOTICE]
**Notification Date:** [NOTIFICATION_DATE]
### Regulatory Notification (Article 33)
**Supervisory Authority:** [AUTHORITY_NAME]
**Notification Date:** [AUTHORITY_NOTIFICATION_DATE]
**Notification Method:** [ONLINE_FORM/EMAIL/LETTER]
### Contact Information
For questions about this breach:
- **Data Protection Officer:** [DPO_CONTACT]
- **Customer Service:** [CUSTOMER_SERVICE_CONTACT]
- **Legal Team:** [LEGAL_CONTACT]
### Prevention Measures
To prevent similar incidents:
1. [ENHANCED_SECURITY_MEASURES]
2. [STAFF_TRAINING_UPDATES]
3. [SYSTEM_MONITORING_IMPROVEMENTS]
4. [THIRD_PARTY_SECURITY_REVIEWS]
"#;
self.template_cache.insert("breach".to_string(), template.to_string());
Ok(template.to_string())
}
async fn generate_dpia_template(&mut self) -> Result<String> {
if let Some(cached) = self.template_cache.get("dpia") {
return Ok(cached.clone());
}
let template = r#"
# Data Protection Impact Assessment Template (Article 35)
## 1. Overview
**Project/System Name:** [PROJECT_NAME]
**Assessment Date:** [ASSESSMENT_DATE]
**Assessor:** [ASSESSOR_NAME]
**DPO Review:** [DPO_NAME]
## 2. Description of Processing
**Purpose:** [DESCRIBE_PROCESSING_PURPOSE]
**Legal Basis:** [ARTICLE_6_BASIS]
**Data Categories:** [LIST_DATA_CATEGORIES]
**Data Subjects:** [DESCRIBE_AFFECTED_INDIVIDUALS]
**Recipients:** [LIST_DATA_RECIPIENTS]
**Retention Period:** [RETENTION_PERIOD]
## 3. High Risk Processing Assessment
Does the processing involve:
- ☐ Systematic and extensive evaluation of personal aspects (profiling)
- ☐ Large-scale processing of special category data
- ☐ Systematic monitoring of publicly accessible areas
- ☐ Use of new technologies
- ☐ Processing that prevents data subjects from exercising rights
- ☐ Large-scale processing of personal data
- ☐ Matching or combining datasets
- ☐ Processing of vulnerable data subjects
- ☐ Innovative use or application of technological solutions
## 4. Necessity and Proportionality Assessment
### Necessity Test
- **Processing Purpose:** [SPECIFIC_PURPOSE]
- **Data Minimization:** Only necessary data is processed ☐ Yes ☐ No
- **Purpose Limitation:** Data used only for specified purposes ☐ Yes ☐ No
- **Alternatives Considered:** [LIST_ALTERNATIVE_APPROACHES]
### Proportionality Test
- **Benefits vs. Privacy Impact:** [ANALYSIS]
- **Less Intrusive Alternatives:** [CONSIDERED_ALTERNATIVES]
- **Safeguards Implemented:** [LIST_SAFEGUARDS]
## 5. Risk Assessment
### Privacy Risks Identified
1. **Risk:** [DESCRIBE_RISK]
- **Likelihood:** High/Medium/Low
- **Impact:** High/Medium/Low
- **Mitigation:** [MITIGATION_MEASURES]
2. **Risk:** [DESCRIBE_RISK]
- **Likelihood:** High/Medium/Low
- **Impact:** High/Medium/Low
- **Mitigation:** [MITIGATION_MEASURES]
### Technical and Organizational Measures
**Technical Measures:**
- Encryption: [ENCRYPTION_DETAILS]
- Access Controls: [ACCESS_CONTROL_DETAILS]
- Monitoring: [MONITORING_DETAILS]
**Organizational Measures:**
- Staff Training: [TRAINING_DETAILS]
- Policies and Procedures: [POLICY_DETAILS]
- Incident Response: [INCIDENT_RESPONSE_DETAILS]
## 6. Stakeholder Consultation
**Data Subjects Consulted:** ☐ Yes ☐ No ☐ N/A
**DPO Consulted:** ☐ Yes ☐ No
**Other Stakeholders:** [LIST_STAKEHOLDERS]
## 7. Outcome and Actions
**Overall Risk Level:** High/Medium/Low
**DPIA Outcome:**
- ☐ Processing may proceed as planned
- ☐ Processing may proceed with additional safeguards
- ☐ Processing should not proceed (high risk cannot be mitigated)
### Required Actions
1. [ACTION_ITEM_1]
2. [ACTION_ITEM_2]
3. [ACTION_ITEM_3]
### Review Schedule
**Next Review Date:** [REVIEW_DATE]
**Review Trigger Events:** [TRIGGER_EVENTS]
## 8. Approval
**DPO Approval:** _________________ Date: _______
**Project Owner:** _________________ Date: _______
**Legal Review:** _________________ Date: _______
"#;
self.template_cache.insert("dpia".to_string(), template.to_string());
Ok(template.to_string())
}
async fn generate_implementation_guide(&mut self) -> Result<String> {
let guide = r#"
# GDPR Implementation Guide for RustChain Customers
## Quick Start Checklist
### Week 1: Foundation
- [ ] Appoint Data Protection Officer (if required)
- [ ] Conduct data audit - identify all personal data processing
- [ ] Document legal basis for each processing activity
- [ ] Review and update privacy policy
### Week 2: Technical Implementation
- [ ] Implement encryption for personal data
- [ ] Deploy access controls and authentication
- [ ] Set up audit logging for all data access
- [ ] Configure automated backup systems
### Week 3: Rights Implementation
- [ ] Create data subject request portal
- [ ] Implement automated data export (portability)
- [ ] Deploy consent management system
- [ ] Test erasure and rectification workflows
### Week 4: Compliance Validation
- [ ] Run RustChain GDPR compliance certification
- [ ] Review SMT mathematical proofs
- [ ] Address any compliance violations
- [ ] Prepare for EU market entry
## RustChain GDPR Automation Features
### 1. Automated Compliance Checking
```bash
# Run comprehensive GDPR compliance check
rustchain compliance check --standard gdpr --mission your-mission.yaml
# Generate EU market entry report
rustchain compliance eu-readiness --mission your-mission.yaml
```
### 2. SMT Mathematical Proof Generation
```bash
# Generate mathematical proofs for GDPR compliance
rustchain smt generate --standard gdpr --output gdpr-proofs.json
# Verify compliance with Z3 solver
rustchain smt verify --proofs gdpr-proofs.json
```
### 3. Automated Documentation Generation
```bash
# Generate privacy policy from mission definition
rustchain tools generate privacy-policy --mission your-mission.yaml
# Create DPIA template for high-risk processing
rustchain tools generate dpia --mission your-mission.yaml
```
### 4. Continuous Compliance Monitoring
```bash
# Monitor ongoing compliance
rustchain compliance monitor --standard gdpr --interval daily
# Generate compliance reports
rustchain compliance report --standard gdpr --period monthly
```
## Common Implementation Patterns
### Privacy by Design Implementation
1. **Data Minimization:**
```yaml
# In your mission file
data_minimization:
enabled: true
retention_days: 365
deletion_policy: "automatic"
```
2. **Encryption Configuration:**
```yaml
security:
encryption_at_rest: "AES-256"
encryption_in_transit: "TLS-1.3"
key_management: "automated"
```
3. **Access Control Setup:**
```yaml
access_control:
rbac_enabled: true
mfa_required: true
session_timeout: 30
```
### Data Subject Rights Automation
1. **Access Request Automation:**
```yaml
data_subject_rights:
access_requests:
automated_response: true
response_time_hours: 72
data_export_format: "JSON"
```
2. **Erasure Request Handling:**
```yaml
erasure_requests:
automated_processing: true
verification_required: true
third_party_notification: true
```
## Troubleshooting Common Issues
### Issue: SMT Constraint Violations
**Solution:** Run detailed compliance analysis
```bash
rustchain compliance analyze --verbose --article [ARTICLE_NUMBER]
```
### Issue: EU Market Entry Blocked
**Solution:** Generate remediation plan
```bash
rustchain compliance remediate --standard gdpr --auto-fix true
```
### Issue: Third-Party Compliance
**Solution:** Vendor compliance verification
```bash
rustchain compliance check-vendors --standard gdpr
```
## Support and Resources
- **Documentation:** [LINK_TO_DOCS]
- **Support Email:** [SUPPORT_EMAIL]
- **Legal Consultation:** [LEGAL_CONTACT]
- **Training Resources:** [TRAINING_LINK]
"#;
Ok(guide.to_string())
}
fn calculate_market_entry_timeline(&self, report: &EUMarketEntryReport) -> String {
match report.overall_readiness {
super::compliance_engine::MarketReadinessLevel::Ready => "Immediate market entry possible".to_string(),
super::compliance_engine::MarketReadinessLevel::NearReady => "2-4 weeks with minor remediations".to_string(),
super::compliance_engine::MarketReadinessLevel::NotReady => format!("{} weeks with full compliance implementation", report.estimated_compliance_timeline.total_market_entry_weeks),
super::compliance_engine::MarketReadinessLevel::UnderAssessment => "Timeline pending completion of assessment".to_string(),
}
}
fn calculate_budget_estimate(&self, certification: &GDPRCertificationResult) -> BudgetEstimate {
let base_hours = certification.remediation_actions.iter()
.map(|action| action.estimated_completion_hours)
.sum::<u32>();
let hourly_rate = 150; let technical_cost = base_hours * hourly_rate;
BudgetEstimate {
technical_implementation: technical_cost,
legal_consultation: 15000, staff_training: 5000, ongoing_compliance: 2000, total_first_year: technical_cost + 15000 + 5000 + (2000 * 12),
annual_maintenance: 2000 * 12,
}
}
fn calculate_certification_timeline(&self, certification: &GDPRCertificationResult) -> String {
let total_weeks = certification.remediation_actions.iter()
.map(|action| action.estimated_completion_hours / 40) .sum::<u32>();
format!("{} weeks for full compliance certification", total_weeks.max(4))
}
}
impl Default for GDPRCustomerTools {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::engine::{Mission};
#[tokio::test]
async fn test_compliance_toolkit_generation() {
let mut tools = GDPRCustomerTools::new();
let mission = Mission {
name: "test_customer_toolkit".to_string(),
description: Some("Test customer toolkit generation".to_string()),
version: "1.0".to_string(),
steps: vec![],
config: None,
};
let toolkit = tools.generate_compliance_toolkit(&mission).await.unwrap();
assert!(!toolkit.privacy_policy_template.is_empty());
assert!(!toolkit.implementation_guide.is_empty());
assert!(!toolkit.automated_compliance_checklist.is_empty());
assert!(toolkit.data_subject_request_templates.contains_key("access_request"));
}
#[tokio::test]
async fn test_customer_readiness_assessment() {
let tools = GDPRCustomerTools::new();
let mission = Mission {
name: "test_readiness".to_string(),
description: Some("Test readiness assessment".to_string()),
version: "1.0".to_string(),
steps: vec![],
config: None,
};
let assessment = tools.assess_customer_readiness(&mission, "Test Company").await.unwrap();
assert_eq!(assessment.organization_name, "Test Company");
assert!(assessment.overall_readiness_score >= 0.0 && assessment.overall_readiness_score <= 100.0);
assert!(assessment.budget_estimate.total_first_year > 0);
}
#[tokio::test]
async fn test_template_caching() {
let mut tools = GDPRCustomerTools::new();
let template1 = tools.generate_privacy_policy_template().await.unwrap();
let template2 = tools.generate_privacy_policy_template().await.unwrap();
assert_eq!(template1, template2);
assert!(tools.template_cache.contains_key("privacy_policy"));
}
}