AI SaaS and Data Privacy Challenges
AI‑powered SaaS multiplies privacy risk because data flows expand (prompts, context windows, embeddings, tool‑calls, logs) and decisions may act on sensitive records. Solve it by designing for privacy as a product feature: strict identity/ACL enforcement in retrieval, data minimization and consent tracking, region pinning and private inference options, model usage policies (“no training on customer … Read more