OpenText Magellan Risk Guard - Loci Integration and Automation

Common Integration Use Cases Between OpenText Magellan Risk Guard and Loci

OpenText Magellan Risk Guard and Loci can work together to improve both compliance control and content effectiveness. Risk Guard identifies sensitive, regulated, or problematic content in unstructured data, while Loci uses content analysis and user behavior to recommend relevant content. Together, they can help organizations deliver personalized experiences without exposing users or the business to unnecessary risk.

1. Compliance screening before content is recommended

Data flow: OpenText Magellan Risk Guard to Loci

Risk Guard scans articles, documents, knowledge base entries, and media assets for sensitive information, policy violations, or regulated content before those assets are made available to Loci for recommendation. Only approved content is passed into the recommendation engine.

Business value: Prevents risky or noncompliant content from being surfaced to employees, customers, or partners through personalized recommendations.

2. Risk-based suppression of content recommendations

Data flow: OpenText Magellan Risk Guard to Loci

When Risk Guard flags content as confidential, legally sensitive, or requiring review, Loci can automatically exclude that content from recommendation lists, homepage modules, or related-content widgets. This can be applied by content type, department, geography, or user role.

Business value: Reduces the chance of accidental disclosure and supports policy-driven content governance at scale.

3. Personalized content delivery with compliance-aware filtering

Data flow: Bi-directional

Loci analyzes user behavior to recommend relevant content, while Risk Guard provides compliance metadata that acts as a filter or ranking constraint. For example, a sales portal can still personalize content by role and interest, but Risk Guard ensures that only approved, nonrestricted assets are eligible for recommendation.

Business value: Balances engagement and personalization with governance, especially in regulated industries such as financial services, healthcare, and legal.

4. Remediation workflow for high-risk content in recommendation pools

Data flow: OpenText Magellan Risk Guard to Loci

If Risk Guard identifies content as high risk after publication, it can trigger an automated workflow to remove that item from Loci recommendation pools, notify content owners, and route the asset for review or remediation. Once corrected, the content can be reintroduced into the recommendation catalog.

Business value: Shortens response time for compliance issues and reduces manual coordination between compliance, content, and digital teams.

5. Content quality and policy feedback loop for editorial teams

Data flow: Bi-directional

Loci engagement analytics can show which compliant content performs best with specific audiences, while Risk Guard highlights which content categories are repeatedly blocked or require remediation. Editorial and compliance teams can use both signals to improve content creation standards and recommendation strategy.

Business value: Improves content governance and helps teams produce content that is both compliant and effective.

6. Role-based recommendation controls for internal knowledge portals

Data flow: OpenText Magellan Risk Guard to Loci

In employee portals, Risk Guard can classify documents by sensitivity level, such as public, internal, confidential, or restricted. Loci then uses those classifications to tailor recommendations based on user role, department, clearance, or location.

Business value: Supports least-privilege access principles while improving knowledge discovery for employees.

7. Audit-ready reporting on recommended content exposure

Data flow: Bi-directional

Risk Guard provides compliance status and content classifications, while Loci provides logs of what content was recommended, to whom, and when. Combined reporting gives compliance, legal, and digital teams a clear view of whether restricted content was ever eligible for or exposed through recommendation channels.

Business value: Strengthens audit readiness, supports investigations, and improves accountability across content operations.

These integrations are most valuable where organizations need to personalize content experiences without compromising governance. By combining risk classification with recommendation intelligence, enterprises can improve engagement while maintaining stronger control over content exposure.