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Access Control

Learn how to manage user permissions and access to data assets in Atlan for security and compliance.

Deployment architecture

The Atlan Secure Agent is a Kubernetes-based application that runs within a customer's environment. It acts as a gateway between the single-tenant Atlan SaaS and external systems like Snowflake, Tableau, and other data sources. This document explains the Secure Agent's deployment architecture, key components, communication flows, and security considerations.

Install on AWS EKS

This guide provides step-by-step instructions to install the Secure Agent on an Amazon Elastic Kubernetes Service (AWS EKS) cluster.

Manage user authentication

When users log into Atlan, a user session begins. You can change the default timeouts for user sessions for all users in your organization, helping you establish secure authentication protocols in Atlan. Once you have configured the settings, these would be applicable to users logging in via both basic and SSO authentication.

Roles and permissions

Explanation of Snowflake's security model and role requirements for data quality operations.

Secure Agent

The Atlan Secure Agent is a lightweight, Kubernetes-based application that enables secure metadata extraction. It connects internal systems with Atlan SaaS while keeping sensitive data protected and doesn’t require inbound connectivity. Running within an organization’s controlled environment, the Secure Agent ensures compliance with security policies and automates metadata processing.

Set up on-premises Databricks lineage extraction

In some cases you will not be able to expose your Databricks instance for Atlan to extract and ingest lineage. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.