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On-prem, VPC, and local GPU pipelines — written into the architecture.
Why private AI is not a checkbox
Define the protected data and every boundary it crosses before choosing a private AI hosting pattern.
Local GPU vs VPC perimeters
Compare local GPU and private-cloud options by data path, infrastructure ownership, connectivity and recovery.
GDPR and LLM workloads
Map the processing roles and data lifecycle; assess processor terms, risk controls, transfers and DPIA needs.
Threat models for AI systems
Perimeter notes for private AI programs.
Data residency that holds
Perimeter notes for private AI programs.
Private RAG patterns
Perimeter notes for private AI programs.
Air-gap patterns
Perimeter notes for private AI programs.
Access boundaries and recovery for private AI deployments
Map data flows, operational roles and time-limited recovery access for a private AI deployment.
Audit logs operators need
Perimeter notes for private AI programs.
Key management basics
Perimeter notes for private AI programs.
Vendor subprocessors
Perimeter notes for private AI programs.
Red-team notes
Perimeter notes for private AI programs.
Secure SDLC for AI
Perimeter notes for private AI programs.
Network segments
Perimeter notes for private AI programs.
Model weight custody
Perimeter notes for private AI programs.
Incident playbooks
Perimeter notes for private AI programs.
DPAs that matter
Perimeter notes for private AI programs.
EU hosting choices
Perimeter notes for private AI programs.
Zero-trust for AI paths
Perimeter notes for private AI programs.
Executive privacy brief
Perimeter notes for private AI programs.