The CSO’s blind spot: Why platform engineering 2.0 is now a security imperative

The source explicitly recommends implementing Platform Engineering 2.0 with four control surfaces: (1) Model governance, a versioned model registry with provenance tracking, approval gates, and drift monitoring where every model deployment requires a signing check; (2) Prompt security, platform-level input sanitization and output filtering with context boundary enforcement at the infrastructure layer; (3) Data isolation and privacy, including tenant-level data boundaries with encryption at rest and in transit, DLP policies embedded in inference pipelines, and real-time PII masking; (4) Inference audit, a continuous real-time record of every AI inference with explainability outputs and compliance reporting. The source also states that 'configurations enforce least privilege, mTLS (mutual TLS, a protocol that verifies both sides of a connection), micro-segmentation, and automated secrets rotation.'