OpenText Lens - Data Visibility - Steg.ai Integration and Automation

Common Integration Use Cases Between OpenText Lens - Data Visibility and Steg.ai

OpenText Lens - Data Visibility and Steg.ai complement each other by combining unstructured data discovery with image recognition, tagging, and content protection. Together, they help organizations identify where visual assets and related files reside, classify them accurately, reduce risk, and improve governance across content-heavy environments.

1. Sensitive image discovery and remediation

Data flow: OpenText Lens - Data Visibility to Steg.ai

OpenText Lens scans repositories to identify image files, scanned documents, and other unstructured content that may contain sensitive information such as customer records, IDs, contracts, or confidential product imagery. Those files are then passed to Steg.ai for image recognition and content classification. Steg.ai can tag the assets based on detected content, making it easier for security and compliance teams to prioritize remediation actions such as restriction, redaction, or protection.

Business value: Reduces exposure of sensitive visual content and improves compliance response times.

2. Automated metadata enrichment for digital asset governance

Data flow: Steg.ai to OpenText Lens - Data Visibility

Steg.ai analyzes images and generates descriptive tags, object recognition results, and protection labels. These metadata attributes can be fed back into OpenText Lens to improve inventory accuracy and content visibility across repositories. Governance teams gain a more complete view of what assets exist, how they are categorized, and which files require retention, review, or deletion.

Business value: Improves asset intelligence and reduces manual cataloging effort.

3. Pre migration content assessment for DAM and file repository cleanup

Data flow: OpenText Lens - Data Visibility to Steg.ai

Before migrating content into a new DAM or content platform, OpenText Lens identifies duplicate, obsolete, or low value image assets across shared drives, archives, and collaboration platforms. Relevant assets are sent to Steg.ai for classification and tagging so migration teams can separate business critical assets from redundant files. This supports cleaner migration waves and reduces the volume of content moved into the target environment.

Business value: Lowers migration cost, reduces clutter, and improves target system quality.

4. Rights management and content protection for brand assets

Data flow: Bi directional

Marketing and brand teams can use Steg.ai to identify and tag approved brand imagery, product shots, and campaign assets with protection labels. OpenText Lens can then scan repositories to locate unauthorized copies, outdated versions, or unapproved variants of those assets. This enables governance teams to enforce retention, access controls, and cleanup actions while protecting brand integrity.

Business value: Strengthens brand control and reduces the risk of unauthorized asset use.

5. Compliance review for regulated visual content

Data flow: OpenText Lens - Data Visibility to Steg.ai

In regulated industries such as healthcare, financial services, and insurance, visual files may contain personal data, signatures, labels, or other regulated information. OpenText Lens can identify repositories containing these assets and route them to Steg.ai for deeper image analysis and tagging. Compliance teams can then apply handling rules, retention policies, or escalation workflows based on the detected content type.

Business value: Supports audit readiness and reduces compliance risk for visual records.

6. Duplicate and near duplicate image identification for storage optimization

Data flow: OpenText Lens - Data Visibility to Steg.ai

OpenText Lens can locate large volumes of image files across enterprise repositories and identify likely duplicates or redundant content sets. Steg.ai can enrich those assets with content based tags, helping teams distinguish true duplicates from similar but business relevant variants. Storage administrators and content owners can then safely remove unnecessary files and retain only approved versions.

Business value: Reduces storage costs and improves repository performance.

7. Cross functional workflow for content review and exception handling

Data flow: Bi directional

OpenText Lens identifies content that falls outside policy, such as unclassified images, stale assets, or files stored in the wrong repository. Steg.ai enriches those files with recognition results and protection tags, which are then used to route exceptions to the appropriate business owner, legal reviewer, or records manager. This creates a structured review workflow between IT, compliance, legal, and content operations teams.

Business value: Improves accountability and accelerates policy based decision making.

In combination, OpenText Lens - Data Visibility provides the enterprise wide discovery layer, while Steg.ai adds image intelligence and protection metadata. The integration is especially valuable for organizations managing large volumes of visual content, regulated records, or digital assets that require both visibility and control.