---
title: "Policy Center: Creating a Policy"
url: "https://atlan.com/demos/creating-a-policy/"
description: "Govern assets effectively with Atlan by creating and managing policies that ensure compliance, collaboration, and clear understanding across your data landscape."
format: "Video"
video: "https://videos.ctfassets.net/nwa1c00rtgxb/2EW3A7ZuPCk7uGLc56SAPU/00f3ecc2525ad243c1bd6df2bb9fc943/Creating_a_policy.mp4"
content_purpose: ["Product Overview"]
target_persona: ["Data Steward"]
journey_stage: ["C1 - Onboarding", "C3 - Adoption", "S2 - Discovery"]
use_case_context: ["Training"]
product: ["Data Marketplace - Data Governance"]
content_type: "video transcript"
transcript_source: "contentful"
---

# Policy Center: Creating a Policy

Transcript of the video at https://atlan.com/demos/creating-a-policy/

<!-- Body: machine transcript stored on the Contentful entry (field contentBody), timestamps kept, product names corrected. Not yet edited by a person. -->

Creating a Policy

[00:00]

Our next step to governing assets in Atlan is through the creation of a policy to create a policy. First we go to the governance module by clicking on the governance icon. Next, clicking on the policy center name brings the policy center overview page. Here we can view all of the different policies that have already been created in Atlan. At the top right, clicking on the new policy button brings the policy creation popup window. Every policy must have a name, have a specific policy type, and also owners for the name field. We recommend using a naming convention as you may have multiple policies that when combined allow you to monitor your assets for a certain compliance need or regulation.

By simply putting the larger purpose and then putting what the policy will be validating after that. It allows for an easy understanding of why the policy was created and what it's checking.

In this case, we put PCI dash Data Retention. Next. For the policy type, we [01:00] have the ability to select from six predefined values. These are data quality, data privacy, data security, data lifecycle data ethics, and data definitions and models. While these do not directly impact the policy's functionality in Atlan, they are used as input for Atlan ai if it's utilized for generating both the body and purpose of the policy. They're also an amazing way to easily understand what type of policy it is and allow for reporting of active policies based on the selection. So choosing the best one that represents the policy is really important.

For our case, we are selecting the data lifecycle policy. Finally, there is the owner's field. When creating the policy, this will default to whoever is creating that policy. However, this field is extremely powerful as only those designated in the owner field have the ability to edit the policy. So we will want to include anyone that we're looking to collaborate with on the creation of this [02:00] policy.

Inside of this field cookie on the field brings the user popup window where we can select specific users to add as owners or even entire groups. The owner field can be updated after the initial creation of the policy, but it is recommended to always include all owners during the creation phase to reduce viscosity in filling it out. With that, our policy is ready to be created. Clicking on create generates the policy and a draft status, and the next steps are to fill out the details of the policy.