Privacy Policy
Comprehensive data protection for Africa's most advanced academic integrity platform
PeakChecker v4.8.1 Integrated Academic Edition | Last Updated: January 7, 2026
Data Protection Act 2021 Compliance
This Privacy Policy implements Zambia's Data Protection Act No. 3 of 2021. PeakChecker v4.8.1 operates as a registered Data Controller with 6 integrated academic systems, all personal data stored on Zambian/AWS servers with complete storage abstraction.
Quick Navigation:
1. Introduction & Scope
This Privacy Policy governs how PeakChecker v4.8.1 Integrated Academic Edition collects, processes, stores, and protects personal data in compliance with Zambia's Data Protection Act No. 3 of 2021. Our platform serves 84 Zambian educational institutions with 6 integrated academic systems, genuine AI detection using 3 ML models, complete storage abstraction, and AWS scalability.
Platform Scope: PeakChecker v4.8.1 processes academic data for legitimate educational purposes including AI detection, plagiarism analysis, cross-institution detection, citation verification, academic style analysis, unified processing, and educational focus across Zambian educational institutions.
2. Data Controller Information
2.1 PeakChecker as Data Controller
PeakChecker operates as a Data Controller as defined in Section 2 of the Data Protection Act 2021. We determine the purposes and means of processing personal data for academic integrity verification across 6 integrated systems.
Registration Status
DPA Registration: Pending (Section 19)
Controller Type: Academic Platform
Jurisdiction: Republic of Zambia
Data Location
Primary Storage: AWS Africa Region
Compliance: Section 70 DPA 2021
Local Storage: Complete abstraction layer
3. Data We Collect
We collect and process the following categories of personal data for legitimate academic purposes across 6 integrated systems:
Identity & Account Data
- Full name and institutional identification
- Institutional email address (domain-verified)
- Academic role (student, educator, administrator)
- Institution affiliation (84 pre-loaded options)
- Account credentials (encrypted)
- Student numbers and academic identifiers
Academic Content Data
- Submitted documents (PDF, DOCX, TXT) up to 200,000+ characters
- AI detection analysis results (3 ML models)
- Plagiarism comparison data (Crossref API)
- Cross-institution academic comparisons
- Citation verification results
- Academic style analysis findings
- Educational improvement guidance
Academic Activity Data
- Submission timestamps and quotas
- Course enrollment information
- Academic performance metrics
- Platform usage patterns across 6 systems
- Institution compliance data
- Cross-institution comparison history
- Educational focus engagement
Technical & System Data
- IP addresses (for security)
- Browser and device information
- AWS storage abstraction metrics
- API usage statistics across 280+ endpoints
- Celery task processing logs
- System performance metrics
- Field-agnostic calibration data
4. Integrated Academic Systems Data Processing
4.1 Six Integrated Academic Systems
PeakChecker v4.8.1 processes data through six integrated academic systems, each with specific data protection considerations:
Cross-institution Detection
Compares submissions across 84 Zambian universities while maintaining institutional privacy boundaries.
Citation Verification
Verifies citations using real-time Crossref API while protecting bibliographic metadata.
Academic Style Analysis
Analyzes Zambian academic standards while protecting individual writing styles.
AI Detection (3 ML Models)
Processes through 3 ML models for genuine detection with field-agnostic calibration.
Plagiarism Detection
Uses Crossref API and intelligent simulation with data minimization principles.
Educational Focus System
Provides improvement guidance while protecting student academic performance data.
4.2 Unified Document Processing
Centralized Processing: All 6 academic systems are coordinated through our unified document processor (document_processor.py) which implements consistent data protection across all processing stages while maintaining system separation where required.
5. Legal Basis for Processing (Section 13 DPA)
5.1 Primary Legal Bases
We process personal data based on the following legal grounds under Section 13 of the Data Protection Act 2021:
Consent
Your explicit consent per Section 15 DPA for specific processing activities across 6 academic systems.
Contract Performance
Processing necessary to provide integrated academic integrity services you request.
Legitimate Interests
Academic fraud prevention across 84 institutions, platform security, and service improvement.
5.2 Consent Management (Section 15 DPA)
Your Consent Rights:
- You may withdraw consent for any specific academic system at any time
- Withdrawal does not affect prior lawful processing
- We will stop processing upon withdrawal unless another legal basis exists
- Granular consent management through your account dashboard
6. How We Use Your Data Across 6 Systems
6.1 Integrated Academic Purposes
- AI Detection: Process through 3 ML models with field-agnostic calibration (65-85% range)
- Plagiarism Analysis: Compare against academic databases using Crossref API
- Cross-institution Detection: Analyze across 84 Zambian universities while protecting privacy
- Citation Verification: Validate references using real-time academic databases
- Academic Style Analysis: Assess Zambian academic writing standards
- Educational Focus: Provide specific improvement guidance for academic writing
6.2 Platform & AWS Operations
- Account Management: Verify institutional access and roles across 84 institutions
- AWS Security: Protect data with S3, RDS, and ElastiCache security measures
- Service Improvement: Enhance 6 academic systems and ML models
- Storage Abstraction: Manage Local/S3 storage with automatic fallback
- Performance Scaling: Support thousands of concurrent documents on AWS
- Compliance: Meet legal obligations under DPA 2021 and AWS best practices
Purpose Limitation: We follow Section 12(1)(b) of the Data Protection Act - data is collected for explicit, specified, legitimate academic purposes across 6 integrated systems and not processed incompatibly with those purposes.
7. Data Security & AWS Infrastructure (Section 47 DPA)
7.1 AWS Security Measures Implemented
We implement comprehensive AWS security measures in compliance with Section 47 of the Data Protection Act 2021:
AWS Infrastructure Security
- AWS S3 bucket encryption with KMS keys
- RDS PostgreSQL Multi-AZ with encryption at rest
- ElastiCache Redis with in-transit encryption
- CloudFront CDN with TLS 1.3
- AWS WAF protection against threats
- VPC security groups and NACLs
Application Security
- Complete storage abstraction layer
- Automatic Local/S3 fallback system
- AES-256 encryption for all academic data
- Role-based access controls (24 tables)
- Regular penetration testing
- Celery task queue security
7.2 Storage Abstraction Layer
7.3 Breach Notification (Section 49 DPA)
8. Your Data Subject Rights (Sections 58-66 DPA)
Under the Data Protection Act 2021, you have the following rights regarding your personal data across 6 academic systems:
Right of Access (Section 58)
Request confirmation and access to your personal data processed by PeakChecker across all 6 systems.
Response: 30 daysRight to Rectification (Section 59)
Request correction of inaccurate or incomplete personal data across all systems.
Immediate actionRight to Erasure (Section 60)
Request deletion under specific conditions (subject to academic retention requirements).
Case-by-caseRight to Object (Section 61)
Object to processing of your personal data based on legitimate interests.
30 days reviewRight to Portability (Section 62)
Receive your data in structured, commonly used format for transfer to another controller.
AvailableRight to Restrict (Section 63)
Restrict processing of your data under specific circumstances.
AvailableExercising Your Rights:
To exercise any of these rights across all 6 academic systems, contact our Data Protection Officer at dpo@peakchecker.com or use the integrated rights portal in your account dashboard. We will respond within 30 days as required by the Data Protection Act.
9. Data Retention (Section 51 DPA)
9.1 Retention Periods Across Systems
We retain personal data only as long as necessary for its purpose across 6 academic systems, plus at least one year as required by Section 51(1) of the Data Protection Act:
| Data Type | Retention Period | System(s) | Legal Basis |
|---|---|---|---|
| Academic Submissions | Purpose + 1 year (min 2 years) | All 6 Systems | Section 51(1) DPA |
| Cross-institution Data | 3 years for academic reference | Cross-institution Detection | Academic standards |
| Citation Verification | 2 years for academic integrity | Citation Verification | Educational requirements |
| AI Detection Results | 7 years for academic reference | AI Detection System | Educational standards |
| User Accounts (Active) | While active + 1 year | All Systems | Section 51(1) DPA |
| AWS S3 Backups | 90 days with encryption | Storage Abstraction | Disaster recovery |
| System Logs | 12 months for security | All Systems | Section 47 DPA |
10. Data Sharing & AWS Transfers
10.1 AWS Data Processors
We engage AWS services as trusted processors who implement appropriate security measures. All AWS services operate under strict data processing agreements compliant with DPA 2021 requirements and AWS shared responsibility model.
10.2 Zambian Data Storage with AWS (Section 70 DPA)
10.3 Integrated Academic System Sharing
Data sharing between our 6 integrated academic systems follows strict internal controls:
- Unified document processor coordinates data flow between systems
- Role-based access controls limit data access to necessary personnel
- Encryption maintained during all inter-system transfers
- Audit logging of all cross-system data access
10.4 Non-Disclosure (Section 53 DPA)
We do not disclose personal data to third parties except:
- With your explicit consent per Section 53(2) for specific purposes
- To your educational institution for academic integrity purposes
- When required by Zambian law or legal process
- To prevent threats to national security or investigate crimes
- To Crossref API for citation verification (minimal metadata only)
11. Contact & Data Protection Officer
Data Protection Officer
Email: dpo@peakchecker.com
Focus: DPA 2021 compliance across 6 academic systems
Responsibilities: Rights requests, compliance monitoring, breach response, AWS security oversight
Response Time: Within 72 hours for rights requests
AWS & Technical Support
Email: peakchecker.team@gmail.com
Phone: +260 964 251 033
Hours: Mon-Fri, 07:00-17:00 GMT+2
AWS Support: 24/7 infrastructure monitoring
Focus: Platform access, technical issues, academic support across 6 systems
Complaints: If you have concerns about our data handling across any of the 6 academic systems, contact our DPO first. You may also lodge a complaint with the Zambian Data Protection Commissioner per Section 68 of the Data Protection Act.
12. Policy Updates
We may update this Privacy Policy to reflect changes in:
- Zambian data protection laws and regulations
- PeakChecker v4.8.1+ features and 6 academic systems
- AWS security requirements and best practices
- Storage abstraction layer enhancements
- Institutional requirements from 84 partner institutions
- Field-agnostic calibration and ML model improvements
PeakChecker v4.8.1 Integrated Academic Edition Specifications
Infrastructure: AWS Africa Region | Complete Storage Abstraction | Local/S3 Fallback
AI Systems: 3 ML Models | Field-agnostic Calibration | 65-85% Academic Range
Institutions: 84 Zambian Universities | Cross-institution Detection
Academic Systems: 6 Integrated Systems | Unified Document Processor
Database: 24 PostgreSQL Tables | 280+ API Endpoints | 32 Email Templates
Security: AWS WAF | S3 Encryption | DPA 2021 Compliance
Acknowledgement & Consent
By using PeakChecker v4.8.1 Integrated Academic Edition, you acknowledge that you have read and understood this Privacy Policy. You consent to the lawful processing of your personal data for academic integrity purposes across 6 integrated systems as described herein, in compliance with Zambia's Data Protection Act No. 3 of 2021 and AWS best practices.
PeakChecker v4.8.1 Integrated Academic Edition: 84 Zambian Institutions | 6 Integrated Academic Systems | 3 ML Models with Field-agnostic Calibration | Complete AWS Storage Abstraction | Crossref API Integration | Zambian Academic Style Analysis | 280+ API Endpoints | 24 Database Tables | AWS Africa Region Infrastructure
Compliance Framework: Data Protection Act No. 3 of 2021 | AWS Shared Responsibility Model | Zambian Jurisdiction | 84 Institutional Agreements | Enterprise Security Standards | Complete Storage Abstraction
Data Protection Act 2021 References: Sections 12 (Principles), 13 (Legal Basis), 15 (Consent), 47 (Security), 49 (Breach), 51 (Retention), 58-66 (Rights), 70 (Localization) - Applied across 6 Integrated Academic Systems