Skyflow Runtime Data Security Agent

This agent lets engineering and security teams run AI agents on sensitive data within Gemini without risking privacy breaches or compliance violations. Enterprise agents often need customer identities, financial histories, or account activity, and exposing PII directly to AI models creates privacy, compliance, and security risk.

Powered by the Skyflow data privacy vault, it provides on-demand data sanitization, tokenization, and runtime security with fine-grained access controls. Raw PII stays protected through tokenization and encryption and is never exposed directly to AI models or downstream applications. Runtime policies give agents only the minimum data needed for a task, and governance rules define how sensitive fields are masked, tokenized, or transformed before reaching the Gemini model. Structured and unstructured data can be retrieved safely for AI workflows. Example uses include resolving loyalty status disputes with redacted signals, evaluating refund and credit exceptions, analyzing disputes and policy violations, and investigating fraud without exposing raw sensitive data.