---
title: "Privacy and security | Grafana Cloud documentation"
description: "Understand data handling, tenant isolation, authentication, and access controls in Grafana AI Observability."
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

# Privacy and security

Grafana AI Observability processes your agent generation data to provide observability insights. This section explains how AI Observability handles data, enforces tenant isolation, and controls access.

- [Data handling and privacy](/docs/grafana-cloud/machine-learning/ai-observability/privacy-and-security/privacy/)  
  Understand what data AI Observability collects, how it's stored, and how to control data retention.
- [Security and access controls](/docs/grafana-cloud/machine-learning/ai-observability/privacy-and-security/security/)  
  Understand tenant isolation, authentication modes, RBAC roles, and the plugin proxy boundary in AI Observability.
- [PII and secrets redaction](/docs/grafana-cloud/machine-learning/ai-observability/privacy-and-security/pii-and-secrets-redaction/)  
  Scan and redact PII and secrets from LLM requests using AI Observability SDKs and guards.