Security Policy
Last updated
Last updated
MusenAI is committed to providing a secure platform for all users of our AI-powered audio entertainment service. This security policy outlines the measures and protocols implemented to protect user data, maintain platform integrity, and ensure a safe environment for content creation and consumption.
Our security practices align with industry standards and are regularly reviewed to address emerging threats and technological developments. This document serves as a comprehensive guide to MusenAI's security framework and practices.
Limited Data Collection
MusenAI collects only essential user information required to provide the service
Primary data collected includes email addresses and app usage data
Payment information is processed entirely through our payment processor (Stripe) and is not stored on MusenAI servers
Data Encryption
All user data is encrypted both in transit and at rest
Industry-standard TLS protocols are used for all data transmitted between the user and our servers
Stored data is protected using AES-256 encryption
Access Controls
Implementation of strict role-based access controls
Employee access to user data is limited to essential personnel and specific job functions
Regular access reviews are conducted to ensure compliance with the principle of least privilege
Regulatory Adherence
Compliance with applicable data protection regulations including GDPR
Regular privacy impact assessments to ensure ongoing compliance
Transparent privacy practices as detailed in our Privacy Policy
User Rights
Self-service account management features for users to access and update their information
Dedicated process for users to request data deletion through our website
Clear protocols for responding to data subject requests
Secure Software Development Lifecycle (SDLC)
Implementation of security controls throughout the development process
Regular code reviews with security considerations
Static and dynamic application security testing
Vulnerability Management
Regular security assessments and penetration testing
Prompt remediation of identified vulnerabilities
Participation in responsible disclosure programs
Third-Party Component Management
Regular auditing of third-party libraries and components
Timely implementation of security patches and updates
Risk assessment for all new dependencies
User Authentication
Support for strong password requirements
Optional multi-factor authentication for account security
Secure session management and cookie handling
Support for social login (Google) with appropriate security measures
Authorization Controls
Implementation of granular permissions model
Verification of authorization for all sensitive actions
Regular review of permission structures
Secure Cloud Configuration
Implementation of secure configuration baselines for all cloud services
Regular security assessment of cloud infrastructure
Implementation of security-focused infrastructure as code
Network Security
Multi-layered network security controls
Traffic filtering and monitoring
DDoS protection mechanisms
Regular network vulnerability scanning
Monitoring and Logging
Comprehensive logging of system activities and security events
Real-time alerting for suspicious activities
Regular review of security logs and audit trails
Retention of logs in accordance with regulatory requirements
Decentralized Storage Security
MusenAI implements a decentralized content storage architecture, moving away from traditional centralized database structures. By leveraging the InterPlanetary File System (IPFS) protocol, audio content is distributed across a peer-to-peer network rather than residing on centralized servers. This approach provides several advantages: enhanced content resilience through distributed redundancy, improved scalability without proportional infrastructure costs, and reduced dependency on centralized points of failure. Each piece of content receives a unique content identifier (CID) based on its cryptographic hash, ensuring content integrity and enabling efficient retrieval regardless of physical storage location. This storage paradigm aligns with MusenAI's vision of an autonomous media ecosystem, where both content generation and content distribution operate on decentralized principles.
Content Moderation
Implementation of automated filters to prevent generation of prohibited content
Regular review and refinement of content filtering mechanisms
Clear user guidelines for appropriate content creation
Public Content Controls
Security measures for content shared through the "Explore" feature
Reporting mechanisms for inappropriate content
Process for prompt review and removal of violating content
Incident Response Plan
Documented procedures for identifying, containing, and remediating security incidents
Clearly defined roles and responsibilities during security events
Regular testing and updates to the incident response plan
Breach Notification
Protocols for assessing notification requirements
Procedures for timely and transparent communication with affected users
Compliance with regulatory reporting requirements
Post-Incident Analysis
Thorough investigation of security incidents
Implementation of lessons learned
Updates to security controls based on incident findings
Vendor Assessment
Security and privacy assessment of all third-party service providers
Contractual security requirements for vendors
Regular review of vendor security practices
Payment Processing
Exclusive use of PCI-DSS compliant payment processors (Stripe)
Segregation of payment processing from main application functionality
No storage of payment card details on MusenAI systems
Security Guidelines
Clear documentation on secure account practices
Information on recognizing potential security threats
Guidance on reporting security concerns
Transparency
Regular updates on security enhancements
Clear communication about security practices
Accessible security and privacy documentation
While maintaining our current security framework, MusenAI is continually working to enhance platform security:
Advanced Threat Protection
Implementation of additional threat intelligence capabilities
Enhanced anomaly detection systems
Expanded security monitoring coverage
Enhanced Authentication Options
Additional authentication methods
Improved account recovery processes
Further hardening of authentication systems
MusenAI takes all security concerns seriously. If you discover a potential security issue, please:
Contact us immediately at admin@musen.live
Provide detailed information about the potential vulnerability
Allow reasonable time for assessment and remediation before public disclosure
We commit to:
Acknowledging receipt of your report in a timely manner
Providing updates on our investigation and remediation efforts
Recognizing those who report legitimate security issues
This security policy will be reviewed and updated regularly to address emerging threats, new technologies, and changing regulatory requirements. Users will be notified of significant changes through:
Platform announcements
Email notifications (for registered users)
Updates to this document
For security-related inquiries or to report security concerns, please contact:
Email: admin@musen.live
Website: https://musenai.live
For general support inquiries, please contact:
Email: info@musen.live
Discord: Join our community server accessible through our website
Last updated: April 26, 2025