← Back to TensorSync

Security at TensorSync

Security is foundational to our platform. We understand that ML models and training data are among your most valuable assets, and we've built TensorSync with security as a first-class concern.

Our Security Practices

🔐 Encryption in Transit

All data is encrypted using TLS 1.3. We enforce HTTPS for all API endpoints and support modern cipher suites only.

🔑 Zero-Trust Architecture

Every request is authenticated and authorized. We use mTLS for service-to-service communication and API keys for client authentication.

🛡️ Infrastructure Security

Our infrastructure runs on hardened, minimal container images. We perform regular vulnerability scans and penetration testing.

📊 Audit Logging

Comprehensive audit logs track all API access, synchronization events, and administrative actions. Logs are retained for 1 year.

🔒 Data Isolation

Multi-tenant architecture ensures complete data isolation between customers. Your tensors never mix with other users' data.

🌐 DDoS Protection

We use Cloudflare's enterprise DDoS protection to ensure service availability even under attack.

Compliance & Certifications

We're committed to meeting industry standards:

Vulnerability Disclosure Program

We appreciate the security research community's efforts in keeping TensorSync secure. If you discover a vulnerability, please report it responsibly.

How to Report

Email us at security@tensorsync.xyz with:

Our Commitment

🚨 Security Emergency?

If you've discovered a critical vulnerability that's actively being exploited, please call our emergency hotline:

+1 (415) 555-0199 (24/7)

Or email security@tensorsync.xyz with "URGENT" in the subject line.

Security Updates

We publish security advisories on our blog and through our status page. Subscribe to stay informed about security patches and best practices.

Best Practices for Users

To maximize security when using TensorSync: