How to Secure Your GPU Cloud Deployment
Security best practices for GPU cloud: network security, access control, encryption, compliance, monitoring.
Set up a private network (VPC)
Create a Virtual Private Cloud. Place GPU instances in private subnets (no internet access). Use a bastion host or VPN for SSH access. Configure security groups to allow only necessary ports.
Implement IAM and access control
Use IAM roles with least privilege. Enable MFA for all users. Use SSH keys (not passwords). Rotate keys regularly. Implement role-based access for different teams (dev, prod, admin).
Encrypt everything
Encrypt data at rest (AES-256 for storage volumes). Encrypt data in transit (TLS 1.3 for all network traffic). Use KMS for key management. Enable GPU memory encryption if available (H100 supports it).
Configure firewall rules
Deny all inbound by default. Allow only: SSH (from bastion only), HTTPS (from load balancer), monitoring ports (from monitoring server). Use Web Application Firewall (WAF) for public-facing APIs.
Set up monitoring and logging
Enable CloudTrail-equivalent audit logging (all API calls). Send logs to immutable storage (7-year retention for compliance). Set up SIEM for real-time threat detection. Monitor GPU utilization for anomaly detection.
Implement network segmentation
Separate environments (dev, staging, prod) in different VPCs or subnets. Use network policies (Kubernetes) to restrict pod-to-pod communication. Implement zero-trust architecture — never trust, always verify.
Ensure compliance
GDPR: data residency in EU or Morocco (Law 09-08 equivalent). SOC 2: implement controls for security, availability, confidentiality. ISO 27001: implement ISMS. PCI-DSS: if processing payments. Harch Corp provides compliant infrastructure.
Regular security audits
Conduct quarterly security assessments. Perform annual penetration testing. Use automated vulnerability scanners (Nessus, Qualys). Implement bug bounty program. Stay updated on CVEs for your software stack.