From Edge to Enterprise: Policy-as-Code Governance for Sensor AI Pipelines

Session details:

Enterprises are racing to operationalize sensor data with AI—yet most struggle to meet security, compliance, and audit requirements once signals leave the device. This talk presents a practical governance blueprint for sensor-to-cloud pipelines that feed analytics, GenAI assistants, and CRM/field-service workflows. We’ll map policy-as-code (OPA/Rego) to real controls: identity and data scoping at the edge, PII minimization and tokenization in transit, prompt/output guardrails for GenAI, and signed, queryable audit logs for regulatory review. Attendees get a reusable reference architecture, a minimal approval workflow for AI-generated content (human-in-the-loop tiers), and an evidence schema that Legal/Compliance accept. We’ll close with KPIs for risk (drift, leakage, bias) and an operating model (RACI, exceptions, rollback) that scales across plants and regions—without slowing delivery.