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Guides2. Your AgentCompliance and guardrails
Chapter 2 · Your Agent

Compliance and guardrails

PII redaction, data retention, bias and ethical-risk guardrails, and audit logging.

6 min read

The Compliance panel gives you four levers: how long conversations are kept, whether sensitive details are scrubbed from stored messages, which biases the agent self-checks for, and whether security-relevant events are logged.

Find these settings under Settings → Compliance on any agent.

Data retention

Choose how long conversations and messages are kept before they're deleted: 7 days, 30, 90, one year, three years, or indefinite.

  • A background sweep runs once a day (off-peak) and deletes conversations older than the cutoff. Their messages go with them.
  • The sweep is per-agent — different agents on the same team can have different retention windows.
  • Set retention to Indefinite if you need to keep history forever; otherwise the cutoff is enforced automatically.

PII redaction

Turn on PII redaction and the agent scrubs sensitive patterns from user and assistant messages before they're stored:

  • Email addresses → [REDACTED_EMAIL]
  • Phone numbers → [REDACTED_PHONE]
  • Credit card numbers → [REDACTED_CARD]
  • US Social Security numbers → [REDACTED_SSN]
  • IBAN bank account numbers → [REDACTED_IBAN]

Redaction happens at write time. The original sensitive text is not retained anywhere — only the scrubbed version ends up in the database.

Heads up
Redaction uses pattern matching, not a full DLP service. It catches the common shapes but won't catch hand-written addresses or names. If you handle regulated data, pair this with channel-level controls.

Bias guardrails

Pick the bias categories you want the agent to actively check against before replying: gender, racial, age, religious, political, socioeconomic, disability, cultural, linguistic, appearance.

Selected categories are added to the agent's system prompt as a self-check instruction: "Before responding, revise your answer if you detect any of these biases." The model treats people fairly across the dimensions you pick.

Ethical risk management

A higher-level set of categories that layer on top of bias guardrails. Available risks:

  • Privacy concerns — refuse to leak or speculate about personal information.
  • Bias detection — re-check responses for discriminatory framing.
  • Misinformation — refuse to assert facts that can't be verified.
  • Harmful content — refuse content that could enable physical, financial, or emotional harm.
  • Deepfake / impersonation — decline to generate impersonations of real people without consent.

Like bias guardrails, selected categories are folded into the system prompt so the agent self-checks before responding.

Audit logging

Turn on Enable Audit Logging to record security-relevant events for this agent:

  • tool.executed — every successful tool call
  • tool.failed — every failed tool call with its error
  • webhook.dispatched — outbound webhook deliveries
  • retention.purged — conversations removed by the daily retention sweep

Audit rows are kept for 180 days and then auto-pruned. Export to cold storage if you need longer retention for compliance reasons.

Tip
Audit logging captures structured metadata only — never raw user content or credentials. The log is designed to be safe to share with compliance reviewers.
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Chatzuri

AI-powered agents are transforming customer interactions by providing instant, intelligent responses around the clock. They help businesses reduce operational costs, improve response times, and scale support without compromising quality. These agents understand natural language, learn from conversations, and integrate with existing systems to offer personalized experiences that enhance customer satisfaction and loyalty.

Chatzuri

AI-powered agents are transforming customer interactions by providing instant, intelligent responses around the clock. They help businesses reduce operational costs, improve response times, and scale support without compromising quality. These agents understand natural language, learn from conversations, and integrate with existing systems to offer personalized experiences that enhance customer satisfaction and loyalty.

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