09 Security Model
Comprehensive Security Framework
ProSignal AI implements a multi-layered security architecture that protects user data, platform integrity, and financial transactions. Our security model addresses threats across authentication, data protection, smart contract security, and operational security domains.
Authentication & Access Control
Web3 Authentication System
Web3 Wallet Authentication
ProSignal AI uses industry-standard Web3 wallet authentication protocols for user login, providing several security advantages:
Cryptographic Verification: Users prove wallet ownership through digital signatures
No Password Vulnerabilities: Eliminates risks associated with password-based systems
Decentralized Identity: Users maintain control over their authentication credentials
Replay Attack Protection: Nonce-based system prevents signature reuse
Time-Limited Sessions: JWT tokens with configurable expiration periods
Multi-Factor Authentication (2FA)
For enhanced security, the platform supports Time-based One-Time Password (TOTP) authentication:
Optional Implementation: Users can enable 2FA for additional protection
Standard TOTP Protocol: Compatible with Google Authenticator, Authy, and similar apps
Backup Codes: Recovery mechanisms for lost authenticator devices
Administrative Controls: 2FA requirements for sensitive operations
Role-Based Access Control
User Permissions
Standard Users: Access to predictions, subscriptions, and referral features
Administrators: Platform management, user administration, and system configuration
Service Accounts: Limited permissions for automated system operations
Permission Validation
Server-side permission checks for all sensitive operations
JWT token validation with role-based claims
API endpoint protection with middleware authentication
Administrative function isolation and logging
Data Protection & Privacy
Privacy-First Architecture
Minimal Data Collection
ProSignal AI collects only essential information required for platform operation:
Wallet Addresses: Public blockchain addresses for authentication and payments
Email Addresses: Optional, for notifications and communication only
Usage Analytics: Anonymized platform interaction data for improvements
No Personal Data: No KYC requirements, personal identification, or financial information
Data minimization is a core principle: only essential, non-identifying information is collected.
Data Encryption
Transport Layer Security: TLS 1.3 encryption for all communications
Database Encryption: Sensitive data encrypted at rest
API Security: HTTPS enforcement for all client-server communications
Session Protection: Secure cookie configuration and session management
Blockchain Privacy
Transaction Privacy
Pseudonymous Operations: Wallet addresses provide privacy without full anonymity
No Personal Linking: Platform doesn't link wallet addresses to personal identities
Optional Disclosure: Users control what information they share
Public Verification: Transaction transparency without personal data exposure
Smart Contract Security
PSAI Token Security
Access Control Implementation
The PSAI smart contract implements strict access controls:
Owner-Only Functions: Critical operations restricted to contract owner
Transfer Lock Logic: Selective restrictions only for airdrop recipients
Immutable Rules: Core tokenomics cannot be changed after deployment
Emergency Controls: Limited emergency functions with transparent execution
Security Validations
Input Validation: All function parameters validated for correctness
Overflow Protection: SafeMath implementation prevents arithmetic errors
Reentrancy Guards: Protection against reentrancy attacks
Gas Optimization: Efficient code reduces attack surface and costs
Contract Audit Considerations
Security Best Practices
OpenZeppelin Libraries: Use of battle-tested, audited contract components
Standard Patterns: Implementation of proven security patterns
Comprehensive Testing: Extensive testing before mainnet deployment
Code Transparency: Open-source contract code for community review
Future Audit Plans
Professional Audits: Third-party security audits for major contract updates
Bug Bounty Programs: Community-driven security testing incentives
Continuous Monitoring: Ongoing security assessment and improvement
Incident Response: Prepared response procedures for security events
Infrastructure Security
Application Security
Input Validation & Sanitization
Zod Schema Validation: Comprehensive input validation on all API endpoints
SQL Injection Prevention: Parameterized queries through Drizzle ORM
XSS Protection: Content Security Policy and output encoding
CSRF Protection: SameSite cookie configuration and token validation
API Security
Rate Limiting: Protection against abuse and DoS attacks
Authentication Middleware: JWT validation on protected endpoints
Error Handling: Secure error responses without information disclosure
Logging & Monitoring: Comprehensive security event logging
Database Security
Access Controls
Principle of Least Privilege: Database users have minimal required permissions
Connection Security: Encrypted database connections
Query Optimization: Indexed queries prevent performance-based attacks
Backup Security: Encrypted backups with secure storage
Data Integrity
Transaction Consistency: ACID compliance for critical operations
Referential Integrity: Foreign key constraints prevent data corruption
Audit Trails: Comprehensive logging of data modifications
Version Control: Database schema versioning and migration tracking
Operational Security
Development Security
Secure Development Lifecycle
Code Review Process: Peer review for all code changes
Dependency Management: Regular updates and vulnerability scanning
Environment Separation: Isolated development, staging, and production environments
Secret Management: Secure storage and rotation of sensitive credentials
Deployment Security
Infrastructure as Code: Version-controlled infrastructure configuration
Automated Testing: Security tests integrated into CI/CD pipeline
Rollback Procedures: Quick rollback capabilities for security incidents
Monitoring Integration: Real-time security monitoring and alerting
Incident Response
Security Monitoring
Real-Time Alerts: Automated detection of suspicious activities
Log Analysis: Comprehensive logging and analysis of security events
Performance Monitoring: Detection of anomalous system behavior
User Activity Tracking: Monitoring for unusual user patterns
Response Procedures
Incident Classification: Standardized severity levels and response procedures
Communication Plans: Clear communication protocols for security events
Recovery Procedures: Documented steps for system recovery and restoration
Post-Incident Analysis: Comprehensive review and improvement processes
Compliance & Regulatory Considerations
Data Protection Compliance
Privacy Regulations
GDPR Considerations: Privacy-by-design architecture minimizes compliance requirements
Data Minimization: Collection of only necessary data reduces regulatory exposure
User Rights: Mechanisms for data access, correction, and deletion where applicable
Cross-Border Data: Careful consideration of international data transfer requirements
Financial Regulations
Cryptocurrency Compliance
Information Service Model: Platform provides information, not financial advice
No Custody Services: Users maintain control of their own cryptocurrency
Transparent Operations: All transactions publicly verifiable on blockchain
Regulatory Monitoring: Ongoing assessment of evolving regulatory landscape
Risk Management
Threat Assessment
Identified Risks
Smart Contract Vulnerabilities: Mitigation through audits and testing
API Security Threats: Protection through validation and rate limiting
User Account Compromise: Mitigation through 2FA and secure authentication
Infrastructure Attacks: Protection through monitoring and redundancy
Risk Mitigation Strategies
Defense in Depth: Multiple security layers for comprehensive protection
Regular Updates: Continuous security improvements and patch management
User Education: Security best practices communication to users
Insurance Considerations: Evaluation of security insurance options
Business Continuity
Disaster Recovery
Backup Systems: Regular, tested backups of all critical data
Redundancy: Multiple system redundancy for high availability
Recovery Procedures: Documented and tested disaster recovery plans
Communication Plans: Clear communication during service disruptions
Security Culture
Team Training: Regular security training for all team members
Security Awareness: Ongoing education about emerging threats
Vendor Security: Security assessment of all third-party services
Community Engagement: Transparent communication about security practices
The ProSignal AI security model represents a comprehensive approach to protecting users, platform integrity, and business operations while maintaining the transparency and accessibility that blockchain technology enables.