Data retention policy enforcement

**1. Purpose**

1. Enforce data retention policies by automating regular audits, data purging, archiving, and reporting to maintain telecom regulatory compliance, reduce risks, and optimize storage.

2. Automate documentation, proof of compliance, and flagging of non-compliant data handling actions.

3. Automate policy lifecycle management across subscriber, billing, network logs, and customer data, ensuring automated traces for audits.

**2. Trigger Conditions**

1. Time-based: Automate task execution at scheduled periods (daily, monthly, quarterly).

2. Event-driven: Automated triggers on policy change, data expiration, regulatory rule updates, or system alerts.

3. Volume-driven: Automated initiation when reserved storage thresholds are met or exceeded.

**3. Platform Variants**

1. AWS S3

• Feature: Lifecycle Policies; API: `PutBucketLifecycleConfiguration` — configure bucket rules for automated data expiration, deletion, or archiving.
  

2. Microsoft Azure Blob Storage

• Feature: Blob Storage Lifecycle Management; API: `Set Management Policy` — automate blob tiering, deletion, and archiving.
  

3. Google Cloud Storage

• Feature: Object Lifecycle Management; API: `storage.buckets.patch` — automate expiry, deletion, and retention rules.
  

4. MongoDB Atlas

• Feature: Data TTL Indexes; API: `createIndex` with `expireAfterSeconds` — automate document expiration and cleanup.
  

5. Oracle Database

• Feature: DBMS_SCHEDULER; API: `CREATE_JOB` — automate scheduled deletion of records per retention rules.
  

6. Snowflake

• Feature: Time Travel and Retention Period; API: `ALTER TABLE … SET DATA_RETENTION_TIME_IN_DAYS` — automate retention and zero-copy cloning lifecycle.
  

7. SAP HANA

• Feature: Data Aging Objects; API: `ALTER TABLE SET DATA AGING` — automate movement of data to warm/cold storage.
  

8. Salesforce

• Feature: Data Retention Rules; API: `Metadata API – RetentionPolicy` — automate purging/archive of CRM data.
  

9. IBM Cloud Object Storage

• Feature: Bucket Lifecycle; API: `put_bucket_lifecycle_configuration` — automate deletion or transitioning of objects.
  

10. Dropbox Business

• Feature: Data Governance; API: `files/delete_v2` — automated deletion of files past retention date.
  

11. Box

• Feature: Retention Policies; API: `POST Retention Policies` — automate enforcement and deletion based on policy.
  

12. Twilio

• Feature: Message Retention; API: `Message Logs Delete` — automate SMS/MMS/call-log deletion after set period.
  

13. SendGrid

• Feature: Activity History; API: `DELETE /messages/activity` — automate email message purge per policy.
  

14. Jira Service Management

• Feature: Data Retention; API: `DELETE /rest/api/3/issue/{issueIdOrKey}` — automate issue removal/archive.
  

15. ServiceNow

• Feature: Automated Data Retention Workflows; API: Flow Designer — automate overdue record request and deletion.
  

16. Slack

• Feature: Message Retention Policies; API: `conversations.history` + `chat.delete` — automate channel message deletion.
  

17. Microsoft 365 Compliance Center

• Feature: Retention Labels/Policies; API: Graph API `security/retentionLabels` — automate content labeling, archiving.
  

18. Atlassian Confluence

• Feature: Content Expiry; API: `DELETE /wiki/{id}` — automate page or attachment deletion past due.
  

19. GitHub

• Feature: Repository Data Retention; API: `DELETE /repos/{owner}/{repo}` — automate deletion or archiving repos.
  

20. ElasticSearch

• Feature: Index Lifecycle Management (ILM); API: `PUT _ilm/policy` — automate rollover, shrink, or delete old indexes.
  

**4. Benefits**

1. Reduces manual review, enabling automated regulatory compliance for telecom operators.

2. Minimizes legal/privacy risks via automated, auditable purging and retention.

3. Lowers storage costs with automated deletion/archiving workflows.

4. Enhances speed and reliability of compliance response through automation.

5. Allows automating policy updates in response to new telecom regulations.

6. Ensures audit trails and reports are automated and accessible for regulators.

7. Upgrades data stewardship and reduces operational overhead with automators.

8. Scales seamlessly as automated data retention adapts to data growth and policy changes.

9. Enables automatable monitoring for irregularities or failed deletion events.

10. Increases customer trust by automating privacy-centric data handling.