Adverse media that arrives already scored

DetectX® extends Know Your Customer and Know Your Stakeholder with continuous, NLP-driven analysis of the web, specialist databases and public registers. Each document carries a risk score and a sentiment score into the same alert queue as every other module.

  1. 1Search
  2. 2Score
  3. 3Review
Stylised mockupA stylised drawing of the DetectX® alert queue, where a scored document arrives as an alert: each row carries its reference, the name that matched, the list it matched against and how closely. Synthetic data, awaiting ground truth from the canonical deployment.Not a screenshot: a simplified drawing of the DetectX® interface carrying fictional data. It awaits a capture of the deployment it represents, so no value, label or arrangement in it is a measured one.

The DetectX® Approach

Adverse Media Search is one module of the DetectX® platform. It shares the AlertViewer, the lists and the reporting with every other module, so a second capability is a module rather than a second system.

Sources

Advanced natural language processing analyses sources such as Google API, LexisNexis, OpenCorporate, and public registers. Predefined and custom keywords, combined with search inputs such as name or company, deliver precise and relevant results across multiple languages.

Web and news

Open web

Continuous analysis of open digital sources, in multiple languages, against predefined and custom keywords.

Specialist databases

Licensed

Commercial content accessed through the sources your organisation subscribes to.

Public registers

Official

Corporate and public registers read alongside media, so an entity and its filings are assessed together.

Key Benefits and Impact

Finding the article is not the hard part. Deciding what it means is.
A search that returns everything written about a common name buries the one document that matters. DetectX® scores every document for risk and for sentiment separately, records which keywords fired and how relevant the topic was, and hands the analyst a ranked list with the reasoning attached rather than a page of results.

Stylised mockupA stylised drawing of the shared alert surface a scored document lands on: the tabs an analyst moves between and the fields that identify the case. Its fields are a screening alert's, because no adverse media screen of the canonical deployment has been captured. Synthetic data, awaiting ground truth.Not a screenshot: a simplified drawing of the DetectX® interface carrying fictional data. It awaits a capture of the deployment it represents, so no value, label or arrangement in it is a measured one.

WHAT A SCORED DOCUMENT CARRIES

One view across the sourcesA comprehensive view of stakeholders across diverse digital sources, in multiple languages.
Risk and sentimentEarly detection of risk signals through intelligent media analysis and document classification.
Standalone or integratedRun independently or embed into existing compliance workflows, via API or batch.
Azure-optimisedCloud services optimised for Azure to preserve data privacy, with cloud-based LLM-assisted analysis.

Why DetectX®

A mention is a starting point, not an answer.

One adverse media hit, as the record holds it

Adverse Media Search shares the AlertViewer, the lists and the reporting with every other DetectX® module. A name screening hit on the same subject can be opened from inside the alert, and adding a second module never requires a separate review workflow.

Step 1 of 4 · Search

The search records what it asked for

The subject, the keyword set and the sources searched are recorded with the request, so a later reviewer can see the question, not only the answer.

Recorded: the subject, the keywords and the sources queried.

Step 2 of 4 · Score

Two scores, kept apart

Risk and sentiment are scored separately, because a negative article about someone else is not the same thing as a neutral article about the subject.

Recorded: the risk score, the sentiment score and the keywords that fired.

Step 3 of 4 · Review

The analyst works from the document, not the score

The scored document opens with its source and its matched terms attached, so the assessment is made against the text rather than against a number.

Recorded: which documents were read, and what was concluded.

Step 4 of 4 · Decide

The conclusion stays with the document

The outcome and its reasoning attach to the alert, and the scored document stays in the investigation dossier, so the conclusion can be read against the text and the scores that prompted it.

Recorded: the decision, its reasoning, the documents kept and the author.

Common questions

Adverse Media Search · DetectX®

See a subject searched,
scored and closed.

Book a session on your own subject types. Bring your questions about source coverage, keyword sets and how scored documents reach the alert queue.

Real-time
Negative-media scoring across sanctions lists, PEP databases, and 30+ reputable internet sources.
Two scores, not one
Risk and sentiment are scored separately and both are recorded.
One platform
Adverse Media, Name Screening and Transaction Monitoring on the same AlertViewer.