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000eab4740
Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
2.6 KiB
2.6 KiB
12. Security & Compliance
Data Privacy & GDPR Compliance
Requirements:
- Data Minimization: Only collect necessary data
- Consent Management: Explicit consent for data sharing
- Right to Erasure: Ability to delete user data
- Data Portability: Export user data in machine-readable format
- Privacy by Design: Default privacy settings, data encryption
Implementation:
- Data classification (public, private, confidential)
- Encryption at rest and in transit
- Pseudonymization for analytics
- Audit logging of data access
- Data retention policies and automated cleanup
Confidentiality & Trust Features
Features:
-
Selective Data Sharing:
- Businesses choose what data is public vs. visible only to matches
- Anonymous matching (reveal identity only after mutual interest)
-
Data Masking:
- Hide exact quantities (show ranges: "10-50 MWh/month")
- Hide exact locations (show approximate: "within 2km of...")
-
Trust Scores:
- Verified businesses (government registration, certifications)
- Transaction history (successful matches, ratings)
- Platform reputation system
-
Secure Match Introductions:
- Platform mediates initial contact
- NDA templates for sensitive negotiations
- Secure messaging within platform
Security Infrastructure
Security Targets:
- Data Breach Prevention: Zero data breaches in production
- Compliance: 100% GDPR compliance audit pass rate
- Vulnerability Management: <24 hour patching for critical vulnerabilities
- Access Control: 100% of sensitive operations logged and auditable
Implementation Details:
- Secrets Management: AWS Secrets Manager with automatic rotation (<30 days)
- Container Scanning: Trivy + Snyk integrated in CI/CD (0 critical vulnerabilities allowed)
- Dependency Scanning: Automated weekly scans, automated patching for non-breaking updates
- WAF: CloudFlare with custom rules for API protection (blocks 99.9% of malicious traffic)
- Database Encryption: AES-256 encryption at rest, TLS 1.3 in transit
- API Security: JWT tokens with 15-minute expiration, refresh token rotation
- Network Security: VPC isolation, security groups, network ACLs
- Monitoring: Real-time security event detection and alerting
Security Operations:
- Incident Response: <1 hour detection, <4 hours containment, <24 hours resolution
- Penetration Testing: Quarterly external audits, automated vulnerability scanning
- Access Reviews: Quarterly access privilege reviews and cleanup
- Security Training: Annual security awareness training for all team members