

In November, we made meaningful progress across two major initiatives: unifying Screening and Risk Assessment, and kicking off the research work to improve the accuracy of Adverse Media detection. Together, these efforts strengthen usability, reduce noise, and increase confidence in screening outcomes.
1. Platform Unity for Screening & Risk Assessment
We continued our work toward Platform Unity by aligning Screening and Risk Assessment around shared capabilities, workflows, and design patterns. Our goal is to achieve feature parity and expand each product by augmenting it with the strengths of the other. We’ve been reworking several core designs so that both products now share a consistent layout, navigation, and interaction model. This alignment reduces context switching and makes it easier for you to move seamlessly between Screening and Risk Assessment workflows.
We’ve introduced Risk Rating directly into Screening’s Potential Matches, giving you clearer insight into why a match is considered risky:
We added Risk Composition to the Adverse Media component, allowing you to quickly understand how risk is distributed across adverse media articles, and filter articles by specific risk themes for faster triage.
What’s Next
In early 2026, we’ll complete the final step of this initiative by redesigning the Profile Screening Result Summary page in Risk Assessment. This will deliver full UX parity across Screening and Risk Assessment and complete the unified experience.

2. Smarter Role-Aware Adverse Media (In Progress)
We’ve started work on a Role-Aware Adverse Media model, designed to improve the precision of adverse media alerts by understanding who the negative content actually applies to.
Why This Matters
Today, adverse media detection can flag articles as risky without determining whether the searched individual is actually responsible for the wrongdoing. This can lead to irrelevant alerts and unnecessary manual review.
What’s Changing
The new Role-Aware Adverse media model can identify whether the person in an article is a suspect/perpetrator or a non-suspect (e.g., victim, witness, journalist, official).
This work is currently in progress, with production availability targeted for Q2 2026.
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