OpenText Lens - Data Visibility - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Lens - Data Visibility and MediaViz AI

1. Sensitive Media Content Discovery and Classification

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens identifies unstructured files that may contain sensitive information across shared drives, archives, and content repositories. Those findings can be passed to MediaViz AI to analyze image, video, and document content for visual indicators such as logos, IDs, labels, screens, or other embedded sensitive material. This helps security and compliance teams classify media assets more accurately and reduce the risk of missed sensitive content.

2. Redundant and Obsolete Media Cleanup

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens can locate duplicate, obsolete, or low-value unstructured content across repositories. MediaViz AI can then review the media subset to determine whether files still have business relevance based on visual content, scene type, or document imagery. This supports defensible cleanup programs by helping records and content owners decide what to retain, archive, or delete.

3. Migration Readiness for Large Media Repositories

Data flow: OpenText Lens - Data Visibility - MediaViz AI

During cloud migration or repository consolidation, OpenText Lens can inventory all unstructured content and identify high-risk or high-volume media collections. MediaViz AI can enrich that inventory with media-specific metadata, making it easier to group files by content type, business function, or sensitivity before migration. This reduces migration scope, improves prioritization, and lowers the chance of moving unnecessary content into the target platform.

4. Compliance Review for Visual Records and Evidence

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens can surface records that fall under retention, legal hold, or regulatory review. MediaViz AI can then inspect visual assets such as photos, scanned forms, and video frames to help compliance teams verify whether the content contains regulated information, personal data, or evidence relevant to an investigation. This creates a more complete review process for teams handling audits, litigation support, or regulatory requests.

5. Information Risk Triage for Unstructured Content

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens can identify repositories with high concentrations of risky content, such as confidential documents stored in open locations. MediaViz AI can analyze the associated media files to determine whether they contain visible credentials, customer data, product designs, or other business-sensitive information. Risk and governance teams can then prioritize remediation actions based on actual content exposure rather than folder location alone.

6. Media Asset Governance and Ownership Assignment

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens can detect orphaned or poorly governed media assets across departments. MediaViz AI can help classify those assets by subject matter, brand usage, or operational context so they can be routed to the correct business owner. This improves accountability, speeds up approval workflows, and reduces the number of unmanaged files sitting in shared repositories.

7. Pre-Archive Content Profiling for Long-Term Retention

Data flow: OpenText Lens - Data Visibility - MediaViz AI

Before content is moved into long-term archive, OpenText Lens can profile the repository to identify what should be retained and what can be excluded. MediaViz AI can add visual analysis to confirm the business value of media records, such as training footage, product imagery, or operational evidence. This ensures archives contain only content with retention value and lowers storage and retrieval costs over time.

8. Cross-Functional Review Workflow for High-Risk Media

Data flow: OpenText Lens - Data Visibility - MediaViz AI

OpenText Lens can flag media files that match risk criteria, such as sensitive keywords, unusual access patterns, or high-value repository locations. MediaViz AI can then provide content-level enrichment to support review by legal, compliance, security, and business teams. The integration enables a structured workflow where flagged assets are analyzed, assigned, reviewed, and dispositioned with clear auditability.