Use CasesGovernance AI + Obichat · PII/PHI/PCI

Redact sensitive data
in every prompt
and response.

Automatically detect and mask personal, health, and payment data flowing through chat and API traffic, so sensitive information never reaches a model provider it shouldn’t.

Governance AIObichat
01 / The problem

Every prompt is a potential data export.

Employees paste customer records into chat. Agents pull PII into context. Without redaction, every one of those calls is an uncontrolled export of sensitive data to a third-party model provider.
01 — DETECT

Built-in PII/PHI/PCI classifiers

Recognize names, identifiers, health information, and payment data across prompts and responses, out of the box.

PII · PHI · PCI
02 — MASK

Redact, don't just flag

Sensitive spans are masked in place before the call continues — the model still gets a usable prompt, minus the exposure.

In-place masking
03 — CONTROL

Policy-driven scope

Choose what gets redacted per agent or workspace — strict for customer-facing tools, permissive for internal analytics.

Per-agent policy
02 / Frameworks & capabilities
PIIPHIPCIAutomatic masking
Get started

Find out what's already leaking.

Most teams are surprised by what shows up in a redaction audit of their existing AI traffic.

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