How to protect sensitive data when running AI agents in production?

Protect sensitive data when running AI agents in production using Custodian Labs Python SDK

This task can be performed using Custodian Labs Python SDK

Deploy secure AI-agents in minutes.

Best product for this task

Custod

Fastest way to deploy AI-agents, securely. Custodian Labs makes it easy to connect leading AI models, add your own data, and launch single or multi-agent workflow, without complex infrastructure or compromising sensitive data. ⚑ Go from prototype to deployment in minutes πŸ€– Connect different AI models without vendor lock-in πŸ”’ Protect private data with our proprietary Guardian Layer algorithm without compromising AI effectiveness πŸ‡³πŸ‡Ώ Supported by New Zealand Government funding Build faster. Protect sensitive data. Deploy AI with confidence.

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What to expect from an ideal product

  1. Deploy single or multi-agent AI workflows in minutes using the Custodian Labs Python SDK, no complex infrastructure needed
  2. The Guardian Layer algorithm strips and protects sensitive data before it reaches any AI model, keeping compliance intact without breaking agent performance
  3. Connect GPT, Claude, or other leading models through one SDK and switch between them without rewriting your pipeline or locking into one vendor
  4. Teams handling private customer data can run production AI agents without exposing PII, financial records, or confidential inputs to third-party APIs
  5. Backed by New Zealand Government funding, Custodian Labs is built for organizations that need real data governance controls alongside fast AI deployment

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