chore: create SECURITY.md (#254)

Author: Code2Life

SECURITY.md

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+# Security Policy
+
+## Supported Versions
+
+We actively support the following versions of Tensor Fusion with security updates:
+
+| Version | Supported          |
+| ------- | ------------------ |
+| 1.x.x   | :white_check_mark: |
+| < 1.0   | :white_check_mark: |
+
+## Reporting a Vulnerability
+
+We take the security of Tensor Fusion seriously. If you believe you have found a security vulnerability in our GPU virtualization and pooling solution, please report it to us as described below.
+
+### How to Report
+
+**Please do NOT report security vulnerabilities through public GitHub issues.**
+
+Instead, please report them via email to: **[email protected]**
+
+If you prefer, you can also contact us through our support channel: **[email protected]**
+
+### What to Include
+
+Please include the following information in your report:
+
+- Type of issue (e.g., buffer overflow, SQL injection, cross-site scripting, etc.)
+- Full paths of source file(s) related to the manifestation of the issue
+- The location of the affected source code (tag/branch/commit or direct URL)
+- Any special configuration required to reproduce the issue
+- Step-by-step instructions to reproduce the issue
+- Proof-of-concept or exploit code (if possible)
+- Impact of the issue, including how an attacker might exploit the issue
+
+### Response Timeline
+
+- **Initial Response**: We will acknowledge receipt of your vulnerability report within 48 hours.
+- **Assessment**: We will provide an initial assessment within 5 business days.
+- **Resolution**: We aim to resolve critical vulnerabilities within 30 days, and other vulnerabilities within 90 days.
+
+### Responsible Disclosure
+
+We kindly ask that you:
+
+- Give us reasonable time to investigate and mitigate an issue before making any information public
+- Make a good faith effort to avoid privacy violations, destruction of data, and interruption or degradation of our services
+- Only interact with accounts you own or with explicit permission of the account holder
+
+## Security Considerations
+
+### GPU Virtualization Security
+
+Tensor Fusion handles sensitive GPU resources and workloads. Key security considerations include:
+
+- **Isolation**: GPU workloads are isolated between different tenants
+- **Authentication**: All API access requires proper authentication
+- **Authorization**: Role-based access control (RBAC) for different operations
+- **Encryption**: Data in transit is encrypted using TLS 1.3
+- **Audit Logging**: All administrative actions are logged for security monitoring
+
+### Kubernetes Security
+
+When deploying Tensor Fusion in Kubernetes:
+
+- Use proper RBAC configurations
+- Ensure network policies are in place
+- Keep Kubernetes cluster updated
+- Use secure container images
+- Implement pod security standards
+
+### Enterprise Features Security
+
+Our Enterprise features include additional security measures:
+
+- **Encryption at Rest**: GPU context and model data encryption
+- **SSO/SAML Support**: Integration with enterprise identity providers
+- **Advanced Audit**: Comprehensive audit trails
+- **Compliance**: SOC2 and other compliance reports available
+
+## Security Updates
+
+Security updates will be released as patch versions and communicated through:
+
+- GitHub Security Advisories
+- Release notes
+- Email notifications to enterprise customers
+- Discord announcements: https://discord.gg/2bybv9yQNk
+
+## Best Practices
+
+### For Administrators
+
+- Regularly update Tensor Fusion to the latest version
+- Monitor security advisories and apply patches promptly
+- Use strong authentication mechanisms
+- Implement proper network segmentation
+- Regular security audits of your deployment
+
+### For Developers
+
+- Follow secure coding practices when contributing
+- Run security scans on your code changes
+- Report any suspicious behavior or potential vulnerabilities
+- Keep dependencies updated
+
+## Security Resources
+
+- [Apache 2.0 License](LICENSE)
+- [Contributing Guidelines](CONTRIBUTING.md)
+- [Documentation](https://tensor-fusion.ai)
+- [Discord Community](https://discord.gg/2bybv9yQNk)
+
+## Contact
+
+For security-related questions or concerns:
+
+- **Security Team**: [email protected]
+- **General Support**: [email protected]
+- **Enterprise Support**: Available for licensed users
+
+---
+
+**Note**: This security policy applies to the open-source components of Tensor Fusion. Enterprise features may have additional security policies and procedures. Please contact us for enterprise-specific security information.