Security & Compliance

AltSportsLeagues.ai implements enterprise-grade security measures and comprehensive compliance frameworks to protect sensitive sports data, ensure regulatory adherence, and maintain trust with league partners and betting operators.

Security Architecture

Authentication & Authorization

JWT Authentication

Implementation: Stateless token-based authentication using RS256 signatures

# JWT token generation
from jose import jwt
from datetime import datetime, timedelta
 
def create_access_token(data: dict, expires_delta: timedelta = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.utcnow() + expires_delta
    else:
        expire = datetime.utcnow() + timedelta(minutes=15)
 
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt

Token Structure:

{
  "sub": "user_123",
  "exp": 1640995200,
  "iat": 1640991600,
  "iss": "altsportsleagues.ai",
  "aud": "api.altsportsleagues.ai",
  "roles": ["league_owner", "data_viewer"],
  "permissions": ["read_leagues", "write_contracts"]
}

Multi-Factor Authentication

Methods Supported:

TOTP (Time-based One-Time Password): Authenticator apps
SMS: Phone number verification
Email: Magic link authentication
Hardware Keys: FIDO2/WebAuthn support

Role-Based Access Control (RBAC)

User Roles:

Role	Description	Permissions
System Admin	Full system access	All permissions
League Owner	League management	League CRUD, contracts, analytics
Partnership Manager	Deal management	Contract negotiation, Jira access
Data Analyst	Analytics access	Read-only data access, reporting
API Consumer	External integration	Limited API access

Data Protection

Encryption at Rest

Database Encryption:

Firestore: Automatic client-side encryption with Cloud KMS
Supabase: PostgreSQL Transparent Data Encryption (TDE)
ChromaDB: Vector database encryption with envelope encryption

File Storage:

Google Cloud Storage: Server-side encryption with customer-managed keys
Local Files: AES-256 encryption for sensitive documents

Encryption in Transit

TLS Configuration:

Minimum Version: TLS 1.3
Cipher Suites: ECDHE-RSA-AES256-GCM-SHA384
Certificate Management: Automated renewal with Let's Encrypt
HSTS: HTTP Strict Transport Security enabled

Data Masking & Tokenization

Sensitive Data Handling:

# Data masking for PII
def mask_pii_data(data: dict) -> dict:
    masked = data.copy()
 
    # Email masking
    if 'email' in masked:
        local, domain = masked['email'].split('@')
        masked['email'] = f"{local[:2]}***@{domain}"
 
    # Phone number masking
    if 'phone' in masked:
        masked['phone'] = f"***-***-{masked['phone'][-4:]}"
 
    return masked

Network Security

Virtual Private Cloud (VPC)

Network Architecture:

Isolated Subnets: Separate subnets for web, API, and data layers
Security Groups: Granular network access control
NAT Gateway: Secure outbound internet access
VPC Flow Logs: Network traffic monitoring and analysis

Web Application Firewall (WAF)

OWASP Protection:

SQL Injection: Parameterized queries and input validation
XSS Prevention: Content Security Policy (CSP) headers
CSRF Protection: SameSite cookies and anti-CSRF tokens
Rate Limiting: Distributed rate limiting with Redis

Compliance Frameworks

GDPR Compliance

Data Subject Rights:

Right to Access: Complete data portability
Right to Rectification: Data correction capabilities
Right to Erasure: Secure data deletion
Right to Restrict Processing: Data processing controls

Data Processing:

Lawful Basis: Legitimate interest and consent management
Data Minimization: Collect only necessary data
Purpose Limitation: Clear data usage policies
Storage Limitation: Automated data retention policies

SOC 2 Type II Compliance

Trust Service Criteria:

Security: Protect against unauthorized access
Availability: Ensure system reliability
Processing Integrity: Accurate and timely processing
Confidentiality: Protect sensitive information
Privacy: Handle personal data appropriately

Industry-Specific Compliance

Sports Betting Regulations:

Data Localization: Regional data residency requirements
Audit Trails: Complete transaction and decision logging
KYC/AML: Know Your Customer and Anti-Money Laundering
Responsible Gambling: Player protection measures

Security Monitoring

Real-time Threat Detection

SIEM Integration:

# Security event logging
import structlog
 
security_logger = structlog.get_logger('security')
 
def log_security_event(event_type: str, user_id: str, details: dict):
    security_logger.info(
        "Security event",
        event_type=event_type,
        user_id=user_id,
        ip_address=details.get('ip'),
        user_agent=details.get('user_agent'),
        timestamp=datetime.utcnow(),
        severity=get_severity_level(event_type)
    )

Alert Types:

Authentication Failures: Brute force attack detection
Anomalous Access Patterns: Unusual login locations or times
Data Exfiltration Attempts: Large data export monitoring
Privilege Escalation: Unauthorized permission changes

Incident Response

IR Process:

Detection: Automated alerting and monitoring
Assessment: Threat analysis and impact evaluation
Containment: Isolate affected systems and users
Recovery: Restore normal operations
Lessons Learned: Post-incident analysis and improvements

Response Times:

Critical Incidents: < 15 minutes to initial response
High Priority: < 1 hour to containment
Medium Priority: < 4 hours to resolution
Low Priority: < 24 hours to resolution

Secret Management

Google Cloud Secret Manager

Secret Organization:

/altsports-production/
├── api-keys/
│   ├── openai/
│   ├── anthropic/
│   └── google-cloud/
├── database/
│   ├── firestore-key/
│   ├── supabase-secret/
│   └── chroma-api-key/
└── services/
    ├── jwt-secret/
    ├── n8n-encryption/
    └── oauth-secrets/

Secret Rotation:

# Automated secret rotation
gcloud secrets versions add openai-api-key \
  --data-file=new-api-key.txt
 
# Update application with zero downtime
kubectl rollout restart deployment/altsports-backend

API Security

Input Validation & Sanitization

Request Validation:

from pydantic import BaseModel, validator
from fastapi import HTTPException
 
class LeagueCreateRequest(BaseModel):
    name: str
    sport_category: str
    website_url: Optional[str] = None
 
    @validator('name')
    def validate_name(cls, v):
        if len(v.strip()) < 2:
            raise ValueError('League name must be at least 2 characters')
        return v.strip()
 
    @validator('sport_category')
    def validate_sport(cls, v):
        valid_sports = ['soccer', 'basketball', 'baseball', 'hockey', 'tennis']
        if v.lower() not in valid_sports:
            raise ValueError(f'Sport must be one of: {valid_sports}')
        return v.lower()

Rate Limiting

Tiered Rate Limits:

from slowapi import Limiter
from slowapi.util import get_remote_address
 
limiter = Limiter(key_func=get_remote_address)
 
@app.post("/api/leagues")
@limiter.limit("10/minute")
async def create_league(request: LeagueCreateRequest):
    # Rate limited to 10 requests per minute per IP
    return await create_league_service(request)

Audit & Logging

Comprehensive Audit Trails

Audit Event Types:

Authentication Events: Login, logout, password changes
Data Access: Read, write, delete operations
Configuration Changes: System setting modifications
Business Transactions: Contract creation, league onboarding

Audit Log Structure:

{
  "timestamp": "2024-01-01T12:00:00Z",
  "event_type": "data_access",
  "user_id": "user_123",
  "resource_type": "league",
  "resource_id": "league_456",
  "action": "read",
  "ip_address": "192.168.1.100",
  "user_agent": "Mozilla/5.0...",
  "success": true,
  "details": {
    "query_parameters": {"limit": 10},
    "response_size": 2048
  }
}

Log Retention & Analysis

Retention Policies:

Security Events: 7 years retention
Application Logs: 90 days hot storage, 1 year cold storage
Audit Logs: 7 years retention with immutable storage
Access Logs: 365 days retention

Penetration Testing

Regular Security Assessments

Testing Schedule:

Automated Scans: Daily vulnerability scanning
External Penetration Tests: Quarterly by certified testers
Internal Security Reviews: Monthly self-assessments
Code Security Reviews: With every major release

Testing Scope:

Network Security: External attack surface
Application Security: API endpoints and web interfaces
Data Security: Database and file storage security
Configuration Security: Infrastructure and application config

Business Continuity

Disaster Recovery

Recovery Objectives:

RTO (Recovery Time Objective): 4 hours for critical systems
RPO (Recovery Point Objective): 1 hour data loss tolerance
Service Availability: 99.9% uptime SLA

Recovery Strategies:

Multi-region Deployment: Active-active across regions
Database Replication: Cross-region data synchronization
Automated Failover: DNS and load balancer failover
Backup Restoration: Point-in-time recovery capabilities

Backup Security

Secure Backup Practices:

Encryption: All backups encrypted with customer-managed keys
Access Control: Least-privilege access to backup systems
Integrity Verification: Cryptographic hashes for backup validation
Testing: Regular backup restoration testing

Third-Party Risk Management

Vendor Security Assessments

Assessment Framework:

Initial Screening: Security questionnaire and documentation review
Technical Assessment: Vulnerability scanning and penetration testing
Contractual Obligations: Security requirements in vendor contracts
Ongoing Monitoring: Continuous security monitoring and assessments

Supply Chain Security

Dependency Management:

# Automated dependency vulnerability scanning
pip-audit --format json | jq '.vulnerabilities[] | select(.severity == "CRITICAL")'
 
# Container image vulnerability scanning
trivy image --format json altsports-backend:latest

Security Awareness & Training

Employee Training Program

Training Components:

Security Awareness: Phishing recognition and social engineering
Data Handling: PII and sensitive data protection
Incident Response: How to report and respond to security incidents
Compliance Requirements: Regulatory and legal requirements

Security Culture

Best Practices:

Clean Desk Policy: Physical security measures
Remote Work Security: VPN requirements and secure connections
Password Management: Strong password policies and MFA
Device Security: Endpoint protection and mobile device management

Compliance Monitoring

Automated Compliance Checks

Continuous Compliance:

# Automated compliance validation
def check_gdpr_compliance():
    """Validate GDPR compliance requirements."""
    checks = {
        'data_processing_agreement': validate_data_processing(),
        'consent_management': validate_consent_records(),
        'data_portability': validate_data_export(),
        'right_to_erasure': validate_data_deletion(),
        'privacy_policy': validate_privacy_policy()
    }
 
    return all(checks.values()), checks

Regulatory Reporting

Compliance Reports:

Monthly Security Reports: Security metrics and incidents
Quarterly Compliance Reports: Regulatory compliance status
Annual SOC 2 Reports: Independent audit results
Ad-hoc Regulatory Requests: As required by authorities

Security Incident Response

Emergency Contacts

Security Team:

CISO: security@altsportsleagues.ai
Security Operations: soc@altsportsleagues.ai
Incident Response: ir@altsportsleagues.ai

Communication Protocols

Stakeholder Notification:

Immediate: Security incidents affecting customer data
24 Hours: Significant security events
Weekly: Security metrics and status updates
Monthly: Comprehensive security reports

AltSportsLeagues.ai maintains the highest standards of security and compliance to protect our partners' valuable sports data and ensure regulatory adherence across all jurisdictions.

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