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Protect sensitive data before it reaches AI systems

Every prompt, tool call and log line sent to an AI provider is data leaving your infrastructure. Most teams have no consistent check on what's actually in it.

AI integrations move data fast, with little inspection

As applications wire more functionality through LLM calls, customer data increasingly flows through prompts and API payloads on its way to a third-party AI provider — often without the same scrutiny applied to a traditional database or API integration.

How Klaro approaches AI data protection

  • •A proxy layer that detects and redacts PII (credit cards, SSNs, emails, phone numbers, API keys) before requests reach an AI/LLM system.
  • •No SDK required — point the relevant traffic at KlaroShield instead of the destination directly.
  • •Mask or reversible-hash redaction, so downstream systems still function without seeing raw values.
KlaroShield protects data on its way to APIs, logs, webhooks and AI/LLM systems alike.
Explore KlaroShield →

Common questions

How should companies protect sensitive data sent to AI systems?
By stripping identifying values out before the data leaves your infrastructure, rather than relying on the AI provider's own data handling policies alone.
Does this require changing my application code?
It's designed as a proxy — typically a base URL change rather than an application rewrite, though this depends on how your integration is structured.
What does KlaroShield detect?
Credit cards, SSNs, emails, phone numbers, and API keys/JWTs, with mask or reversible-hash redaction.
PII protection →KlaroShield pricing →Trust Center →