Hi ala,

Many AI pilots begin the same way.

Developers copy production data into test environments so models can learn from real datasets. The risk often appears later during security or compliance review, delaying AI deployment by weeks or even months.

One global retailer avoided this rework by protecting sensitive data directly in development workflows from day one.

With Protegrity Developer Edition, teams can:

• Protect sensitive data before it enters AI pipelines
• Apply consistent policies across dev, test, and production
• Train models without exposing raw data
• Avoid last-minute compliance delays

Security becomes part of development instead of a checkpoint at the end.