Reliability and Pre-Commit Security for Non-Deterministic AI Workloads

Automated excerpt

This document outlines a practical framework for treating model failures—hallucinations, prompt injections, and tail-latency spikes—as standard distributed systems failure modes. It covers semantic service-level indicators (SLIs), static security checks during git check-in, runtime anomaly detection, and tiered fallback routing. 1. Commit([git commit]) --> PreCommit[Pre-Commit: Secrets, . safetensors, AST & Prompt Lint] Unsafe Serialization: Standard PyTorch checkpoints (. pt, . bin, . pkl) rely on Python's pickle module, which allows arbitrary code execution during model loading.

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