Table of Contents
Overview
As AI becomes mission-critical for enterprises, securing GPU infrastructure is no longer optional. Whether you're training proprietary models, processing sensitive data, or deploying AI at scale, security must be built into every layer.
This guide covers the complete security landscape for enterprise GPU compute — from compliance frameworks to technical controls, with specific guidance for distributed GPU platforms like Griddly.
Why GPU Security Matters
- Data at Risk: Training data often contains PII, trade secrets, or regulated information
- Model Value: AI models represent millions in R&D investment
- Compliance: Regulatory requirements mandate specific security controls
- Reputation: A breach can destroy customer trust instantly
Threat Model
Understanding potential attack vectors is the first step to securing your GPU infrastructure:
Data Exfiltration
Threats
- Training data leakage
- Model weights extraction
- Inference data capture
- Side-channel attacks
Mitigations
- End-to-end encryption
- Secure enclaves (TEE)
- Data access logging
- Network isolation
Unauthorized Access
Threats
- Credential compromise
- Privilege escalation
- API key exposure
- Session hijacking
Mitigations
- MFA enforcement
- RBAC policies
- API key rotation
- Zero-trust architecture
Infrastructure Attacks
Threats
- DDoS on GPU clusters
- Container escapes
- Hypervisor exploits
- Supply chain attacks
Mitigations
- DDoS protection
- Container hardening
- Regular patching
- Vendor verification
Model Attacks
Threats
- Model poisoning
- Adversarial inputs
- Model inversion
- Membership inference
Mitigations
- Input validation
- Differential privacy
- Model watermarking
- Anomaly detection
Compliance Frameworks
Different industries require different compliance certifications. Here's what you need to know:
SOC 2 Type II
Security, availability, processing integrity, confidentiality, and privacy controls.
KEY REQUIREMENTS
HIPAA
Healthcare data protection for AI models processing PHI.
KEY REQUIREMENTS
GDPR
EU data protection for AI training on personal data.
KEY REQUIREMENTS
ISO 27001
Information security management system certification.
KEY REQUIREMENTS
Griddly Compliance
Griddly maintains SOC 2 Type II certification and supports HIPAA-compliant workloads with BAA agreements. Our infrastructure is designed for regulated industries.
Data Security
Data is your most valuable asset. Here's how to protect it throughout the AI lifecycle:
Network Security
- Private VPC deployment
- TLS 1.3 encryption
- DDoS protection
- Firewall rules
- VPN/Direct Connect
Data Security
- AES-256 encryption at rest
- TLS encryption in transit
- Secure key management (HSM)
- Data classification
- Secure deletion
Encryption Best Practices
Access Control
Zero-trust access control is essential for enterprise GPU security:
Access Control
- SSO integration (SAML/OIDC)
- Multi-factor authentication
- Role-based access control
- API key management
- Session management
Monitoring & Audit
- Real-time threat detection
- Comprehensive audit logs
- SIEM integration
- Anomaly alerting
- Compliance reporting
API Key Security
API keys are the most common attack vector. Follow these rules:
- • Never commit keys to version control
- • Rotate keys every 90 days minimum
- • Use environment variables or secrets managers
- • Implement key scoping (read-only, specific resources)
Distributed Computing Security
Distributed GPU platforms like Griddly require additional security considerations:
| Concern | Traditional Cloud | Distributed (Griddly) |
|---|---|---|
| Provider Trust | Single vendor | Verified providers + isolation |
| Data Exposure | Provider has access | Zero-knowledge encryption |
| Workload Isolation | VMs/containers | Containers + secure enclaves |
| Network Security | VPC | Encrypted tunnels + VPN |
| Audit Trail | CloudTrail/equivalent | Immutable blockchain logs |
Griddly Security Architecture
Griddly was built with enterprise security as a core requirement:
Workload Isolation
Every job runs in an isolated container with no shared memory or storage between workloads.
End-to-End Encryption
Data encrypted from upload to processing to download. Keys never leave your control.
Zero-Knowledge Architecture
Griddly cannot access your data or model weights. Only you hold the decryption keys.
Verified Providers
All GPU providers undergo identity verification and hardware attestation.
Audit Logging
Complete audit trail of all API calls, data access, and job execution.
SOC 2 Compliance
Annual SOC 2 Type II audits verify our security controls and practices.
Security Checklist
Use this checklist to ensure your GPU infrastructure is properly secured:
Before Deployment
- Classify data sensitivity (PII, PHI, confidential)
- Review compliance requirements
- Assess vendor security certifications
- Define access control policies
- Plan encryption strategy
During Operation
- Enable MFA for all users
- Rotate API keys regularly
- Monitor audit logs
- Review access permissions quarterly
- Test incident response procedures
Data Handling
- Encrypt data before upload
- Use secure transfer protocols
- Implement data retention policies
- Secure deletion after processing
- Maintain data lineage records