With the use of natural language processing (NLP), machine learning, and data analytics, we can quickly interpret large amounts of media data, understand the context, and recognize common risk patterns.
1
Data aggregation
We consolidate information from various sources — news articles, social media, blogs, and government websites — in real-time.
2
Data analysis
We process the available data to identify whether it relates to the entity of interest, analyze the textual content to assess its tone, and match it against financial, legal, operational, and reputational risk indicators.
3
Key insights
We sort adverse media mentions based on the credibility of media outlets and supplement each link with a summary of the information found. Thus, the analysis that once took a load of manual work is readily available within minutes.
We help compliance teams assess potential risks associated with their customers, partners, or other third parties and find negative information that hasn’t been uncovered during basic due diligence procedures.
Full report in 24h
In a risk report, we list all adverse media alerts generated during the process of press screenings. Each alert comes with a detailed description, source, and risk category.
Manual & auto checks
Adverse media search is Boolean-based. You can either create search strings manually or use the pre-configured ones relevant to your search intent (e.g. fraud, bribery, or other violation).
Risk-based filtering
We add tags to every piece of adverse news to associate it with a certain compliance risk and make it easier to filter articles based on risk-specific information.
Context analysis
To avoid flagging irrelevant information as negative media mentions, we supplement every article in search results with its summary.
No duplicates
We remove duplicate articles from the feed to provide concentrated adverse media searches. Thus, you can focus on genuine risks and ensure that no relevant information is missed.
Social media check
With social media screening, we determine public perception and sentiments. Social media checks help to spot negative events early on before they get a wide response in the press.
Media Screening.AI was born from a desire to tackle a common issue faced by compliance officers — the optimization of public media monitoring for due diligence. Compliance teams find it challenging to gather and analyze bits of adverse information from dispersed news sources. This is because they usually have to do background checks for multiple third parties simultaneously, whereas the resources for this are limited. As a result, an enhanced screening report on one entity may take days and, in particular cases, even weeks to complete.
That’s why our goal is to empower compliance experts with comprehensive media search, advanced analytics, and actionable insights into third-party compliance risks.
Join the waitlist to be the first to try Media Screening.AI for free. All it takes on your part is to contact us.
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