Overview

Comprehensive security guide for BroxiAI applications and data protection

BroxiAI is built with security as a fundamental principle. This guide covers security features, best practices, and compliance measures to help you build secure AI applications.

Security Architecture

Platform Security

Infrastructure Security

Cloud Security

SOC 2 Type II certified infrastructure
End-to-end encryption (AES-256)
Regular security audits and penetration testing
24/7 security monitoring
Automatic threat detection and response

Network Security

TLS 1.3 encryption for all data in transit
DDoS protection and mitigation
Web Application Firewall (WAF)
Network isolation and segmentation
Regular vulnerability assessments

Data Protection

Data at Rest

AES-256 encryption for all stored data
Encrypted database storage
Secure key management (HSM-backed)
Automated backup encryption
Secure data deletion procedures

Data in Transit

TLS 1.3 for all API communications
Certificate pinning for mobile apps
Encrypted WebSocket connections
Secure file upload/download
VPN support for enterprise customers

Authentication & Authorization

User Authentication

Multi-Factor Authentication (MFA)

TOTP (Time-based One-Time Password)
SMS verification
Email verification
Hardware security keys (FIDO2/WebAuthn)
Biometric authentication support

Single Sign-On (SSO)

SAML 2.0 integration
OpenID Connect support
Active Directory integration
Google Workspace integration
Custom identity provider support

API Authentication

API Token Management

# Secure token usage
export BROXI_API_TOKEN="your-secure-token"
curl -H "Authorization: Bearer $BROXI_API_TOKEN" \
     "https://api.broxi.ai/v1/flows/run"

Token Security Features

Automatic token rotation
Fine-grained permissions
IP address restrictions
Usage monitoring and alerts
Automatic revocation on suspicious activity

Role-Based Access Control (RBAC)

User Roles

Owner: Full administrative access
Admin: User and workflow management
Developer: Workflow creation and editing
Viewer: Read-only access to workflows
Guest: Limited access to specific resources

Permission Matrix

Action

Owner

Admin

Developer

Viewer

Guest

Create workflows

✅

❌

Edit workflows

✅

❌

View workflows

✅

Limited

Manage users

✅

❌

API access

✅

Limited

Data Privacy & Compliance

Privacy Controls

Data Minimization

Collect only necessary data
Automatic data retention policies
User-controlled data deletion
Anonymization capabilities
Pseudonymization options

Consent Management

Granular consent controls
Withdrawal mechanisms
Audit trails for consent
GDPR-compliant processing
Clear privacy notices

Compliance Frameworks

GDPR Compliance

Data subject rights (access, rectification, erasure)
Data protection by design and default
Privacy impact assessments
Data processing agreements
EU representative services

HIPAA Compliance (Healthcare)

Business Associate Agreements (BAA)
Encrypted PHI storage and transmission
Access controls and audit logs
Risk assessments and safeguards
Incident response procedures

SOC 2 Compliance

Security controls framework
Availability and processing integrity
Confidentiality protections
Regular compliance audits
Third-party attestations

Regional Compliance

Data Residency

EU data centers for GDPR compliance
US data centers for US customers
Regional data processing options
Cross-border transfer controls
Data sovereignty requirements

Application Security

Secure Development

Security by Design

Threat modeling for new features
Secure coding practices
Regular security training
Code review processes
Automated security testing

Vulnerability Management

Regular security assessments
Automated vulnerability scanning
Responsible disclosure program
Patch management procedures
Security incident response

Input Validation & Sanitization

Data Validation

# Example: Secure input handling
def validate_user_input(user_input):
    # Length validation
    if len(user_input) > 10000:
        raise ValueError("Input too long")
    
    # Content filtering
    filtered_input = sanitize_html(user_input)
    
    # Malicious content detection
    if detect_malicious_patterns(filtered_input):
        raise SecurityError("Potentially malicious input")
    
    return filtered_input

Security Measures

SQL injection prevention
XSS (Cross-Site Scripting) protection
Command injection prevention
Path traversal protection
Rate limiting and throttling

Secure Configuration

API Security Configuration

{
  "security": {
    "rate_limiting": {
      "requests_per_minute": 100,
      "burst_limit": 10
    },
    "ip_whitelist": ["192.168.1.0/24"],
    "cors": {
      "allowed_origins": ["https://yourdomain.com"],
      "allowed_methods": ["GET", "POST"]
    },
    "headers": {
      "strict_transport_security": true,
      "content_security_policy": true
    }
  }
}

AI-Specific Security

Model Security

Model Protection

Encrypted model storage
Secure model serving
Model versioning and integrity
Access controls for model endpoints
Usage monitoring and anomaly detection

Prompt Injection Prevention

Input sanitization and validation
Context isolation
Response filtering
Adversarial prompt detection
User permission boundaries

Data Security in AI Workflows

Training Data Protection

Encrypted data storage
Access controls for datasets
Data lineage tracking
Sensitive data detection
Automated data classification

Inference Security

# Secure inference configuration
{
  "model_config": {
    "max_tokens": 1000,
    "temperature": 0.7,
    "content_filter": "strict",
    "pii_detection": true,
    "output_sanitization": true
  }
}

Incident Response

Security Incident Management

Response Process

Detection: Automated monitoring and alerts
Assessment: Rapid impact evaluation
Containment: Immediate threat isolation
Investigation: Root cause analysis
Recovery: Service restoration
Lessons Learned: Process improvement

Communication Plan

Internal escalation procedures
Customer notification protocols
Regulatory reporting requirements
Public disclosure guidelines
Stakeholder updates

Breach Response

Immediate Actions

Contain the incident
Assess data exposure
Notify affected parties
Implement remediation
Document the incident

Legal and Regulatory

GDPR breach notification (72 hours)
State breach notification laws
Industry-specific requirements
Law enforcement cooperation
Legal counsel engagement

Enterprise Security Features

Advanced Security Controls

Network Security

VPC (Virtual Private Cloud) support
Private endpoints and connections
Network access control lists
Security group configurations
VPN and direct connect options

Audit and Compliance

Comprehensive audit logging
Real-time activity monitoring
Compliance reporting dashboards
Custom security policies
Automated compliance checks

Security Monitoring

Threat Detection

Machine learning-based anomaly detection
Behavioral analysis and profiling
Real-time threat intelligence
Automated incident response
Security information correlation

Monitoring Dashboard

security_metrics:
  - authentication_failures
  - unusual_access_patterns
  - data_access_anomalies
  - api_abuse_detection
  - privilege_escalation_attempts

Security Best Practices

For Developers

Secure Coding

Use parameterized queries
Implement proper error handling
Validate all inputs
Use secure communication protocols
Follow principle of least privilege

API Security

Implement rate limiting
Use HTTPS for all communications
Validate API tokens
Log security events
Monitor for abuse patterns

For Organizations

Governance

Establish security policies
Regular security training
Incident response procedures
Vendor security assessments
Regular security audits

Access Management

Regular access reviews
Automated provisioning/deprovisioning
Strong password policies
Multi-factor authentication
Privileged access management

Security Configuration

Environment-Specific Settings

Development Environment

security:
  debug_mode: false
  log_level: info
  encryption: enabled
  mfa_required: false
  ip_restrictions: disabled

Production Environment

security:
  debug_mode: false
  log_level: warn
  encryption: enforced
  mfa_required: true
  ip_restrictions: enabled
  audit_logging: comprehensive

Integration Security

Third-Party Integrations

Secure credential storage
Encrypted communication channels
Regular security assessments
Access token rotation
Monitoring and alerting

Cloud Provider Security

IAM role-based access
Encryption key management
Network security groups
Audit trail configuration
Compliance certifications

Security Resources

Documentation

Training and Support

Security awareness training
Developer security workshops
Regular security updates
Security advisory notifications
Expert security consultation

Reporting Security Issues

Responsible Disclosure

Email: security@broxi.ai
Encrypted communication available
Response within 24 hours
Coordinated disclosure process
Security researcher recognition

Conclusion

Security is a shared responsibility between BroxiAI and our users. By following these guidelines and implementing recommended security practices, you can build robust and secure AI applications that protect your data and your users' privacy.

For specific security questions or concerns, please contact our security team at security@broxi.ai.

Keep your API tokens secure and never share them publicly. Regular security reviews and updates are essential for maintaining a strong security posture.

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Last updated 6 days ago