Detect reputational risk before it reaches a list

• AI that filters and summarizes the findings.
• Early signals of reputational risk.
• Decision with evidence inside the third party's case file.

Lists arrive late; the media does not

A third party can be under investigation long before appearing on a sanctions list. Monitoring adverse media gives you an earlier and more complete view of the risk.

AI filtering

Artificial intelligence separates what is relevant from the noise, groups mentions and summarizes findings, reducing analysis time.

Early signals

Detect investigations, lawsuits or negative news that have not yet reached official lists, anticipating the risk.

Documented decision

Classify each finding and record your decision with a comment, bringing adverse media into the third party's case file.

From a name to the relevant finding

AI does the heavy lifting of reading and filtering; you decide what is relevant and document it.

1. Enter the person or company. The engine looks for mentions in media and public sources.
2. AI filters and summarizes. It groups what is relevant and discards the noise and namesakes.
3. Classify and document. Decide the relevance of each finding and save it as evidence.

Sample result

The analysis summary shows how many mentions were found, how many are relevant and what level of risk they suggest. Each finding is classified and archived with its evidence. It complements sanctions screening and PEP screening.

AI summarizes 2 signals to review and filters out 11 irrelevant mentions. In the detail of a finding, the relevance (AI) is high when there is a match with the entity; the analyst decides, for example, that it requires enhanced due diligence, and the link and screenshot are archived as evidence. See the scope of each plan in plans and pricing.