Zero-Trust AI Architecture
Security & Privacy Invariants
FineTuneMyAI is engineered specifically for regulated industries, proprietary IP, and privacy-first engineering teams.
What Never Leaves Your Device
Base model & quantized weights
Raw documents & training files
Prompt / completion pairs
Tokenizer cache & vocabulary assets
LoRA adapters & checkpoints
Optimizer states & RNG seeds
Local vector embeddings
Absolute local filesystem paths
What the Control Plane Coordinates
• Account & session identity
• Opaque device identifiers (e.g. dev_91f4a2)
• Sanitized device capability profiles
• Model display names & parameter sizes
• Aggregate corpus token counts & quality scores
• Training hyperparameter configurations
• Step loss & validation loss floats
• Immutable security audit log entries
Zero Arbitrary Code Execution
FineTuneMyAI strictly refuses arbitrary shell commands (RUN_SHELL, EXEC_COMMAND). The cloud API can only request specific allowlisted ML lifecycle operations that are verified and executed natively by your local agent.