Protopia AI Stained Glass Transform vs Skyflow for GenAI: Side-by-Side Comparison (2026)

Protopia AI Stained Glass Transform

Mid-market and enterprise teams shipping prompts to hosted LLMs with proprietary data will find real value in Stained Glass Transform because it actually keeps plaintext out of provider hands without requiring you to run your own model. The tool transforms sensitive data before it reaches the LLM API, covers both PR.DS and ID.AM areas of NIST CSF 2.0, and deploys via AWS sandbox for low-friction evaluation. Skip this if your constraint is cost over data control, or if you're already committed to on-premise LLM deployment; the vendor's 22-person team also means you're betting on a smaller operation than incumbent security vendors.

Skyflow for GenAI

Security teams deploying large language models across training, fine-tuning, and retrieval-augmented generation pipelines need Skyflow for GenAI because it catches sensitive data leakage before it poisons your models, not after models expose it in production. The tokenization and polymorphic encryption happen at ingestion, and fine-grained access controls with time-bound permissions mean your data science team can't accidentally train on unredacted PII even if they try. Skip this if your GenAI use cases are limited to public data or if you're not yet comfortable with API-first privacy controls embedded into your existing ML workflows.