data anonymization in the data privacy Store app obscures personally identifiable information in your instance so that the data is unrecognizable under anonymization are two areas we will be diving into policies and jobs we are currently logged in as data privacy admin with the data classification admin role to do anything more than view a policy technique or job we will need to elevate our role to data privacy admin now let's take a look at how to anonymize the email data we classified in the last video in the event data was anonymized in error you have three days to roll back the anonymization we can select a technique that is already available or create one we'll need to create one for this particular job so click add custom technique because we're replacing the characters in an email address we can use selective replace as our base technique next give the technique a name and add a description now we'll add the custom parameters let's keep the at symbol and replace all other characters with x the custom job shows as an available technique and we can edit or delete it in contrast we can only view a base technique our second task is to create a new policy The Prompt asks if the data is from a colon or table or if the data is associated with a user the email addresses are in columns so we'll select that we'll give the policy the name anonymize email ID and select the data class for personally identifiable information we want to clone the instance before running the job so we'll toggle that option on and since this isn't the most important policy to clone we'll place it 100th on the list and assign a Technique we just created to the columns our third and final task is to schedule a job the email ID anonymization policy we created is listed but we don't have the option to schedule a job for this we need to elevate our role to include data privacy clone processor now we can schedule a job in the schedule job prompt add a description start time and end time there's an option to schedule a dry run which will leave turned on and then we'll click schedule job the job is scheduled using a custom anonymization technique is now listed under doves here's what our data looks like before and after the scheduled job runs now let's walk through how to anonymize the data for an employee who is no longer with the company This falls under the right to be forgotten privacy policy to schedule the job we need the data privacy processor role let's create a new policy like before except this time we'll select user-specific data when we schedule the job we'll select able tutor now we see the job listed to get started using anonymization in the data privacy application navigate to data privacy select anonymization under data privacy for the next experience or select data privacy classic for the classic experience for more information see our product documentation or knowledge base or ask a question in the servicenow community foreign