Guides/AI governance & data lifecycle
AI governance & data lifecycle
Security basics cover threats; governance covers how data moves, how long it lives, and who answers for vendors. Product owns crisp flows — legal stamps controls — before deals stall on questionnaire number fourteen.
Lifecycle map
Use with privacy counsel — not a substitute for jurisdictional analysis.
Artifacts that unblock reviews
| Topic | PM-ready artifact | Typical buyer question |
|---|---|---|
| Data categories in prompts | Matrix: user content, account metadata, third-party docs, derived embeddings | What leaves our VPC? What is ephemeral vs stored? |
| Retention & deletion | TTL defaults per surface (logs, traces, vector rows) + customer-initiated delete | Right-to-erasure latency; backup carve-outs |
| Subprocessors & regions | Architecture diagram with inference, logging, storage regions labeled | Data residency; failover geography; cross-border transfers |
| Human review & training | Opt-in language; whether prompts improve vendor models; enterprise zero-retain SKUs | Model improvement clauses; audit rights on vendor change notices |
Enterprise vs SMB emphasis
Procurement depth by theme (schematic)
Enterprise security reviews concentrate on provenance and subprocessors — SMBs often want plain-language promises first.