Chapter 6: Advanced Adverse Media Screening

Detect the Unbiased Risks with Advanced Adverse Media Screening

How does your AML solution take into account potential left-wing and right-wing bias while checking criminal background through adverse media screening?

Navigate The Noise To Find The Truth

Conducting an adverse media screening lowers the possibility of doing business with a firm or individual that has a track record of financial crimes, terrorist financing, and money laundering.

Make sure your company has access to high-quality structured adverse media content to recognize possible risks, make informed decisions during onboarding, and continue monitoring to adhere to legal requirements and confidently move your business forward.

How Legacy Vendors Offer Adverse Media Screening

• Lack of Contextual Analysis

Basic screening methods may not analyze the context or sentiment of the media content. Without understanding the sentiment, it’s challenging to differentiate between false positives (irrelevant hits) and genuine threats.

• Limited Data Sources

Legacy vendors often struggle with adverse media screening due to outdated technologies and limited data sources. This may lead to missed risks and false negatives, undermining the effectiveness of compliance efforts. Their inability to integrate real-time updates and advanced analytics results in slower, less accurate detection of adverse media, which can expose institutions to heightened financial and reputational risks.

Features Of Efficient Adverse Media Screening Solution

• Advanced Keyword and Contextual Searches

AML Watcher uses advanced algorithms to conduct both keyword and contextual searches, ensuring more accurate identification of adverse media. Reduces irrelevant data and improves the accuracy of identifying genuine threats.

• Sentiment Analysis for Accurate Screening

AML Watcher incorporates sentiment analysis into its screening process. Sentiment Analysis is a natural language processing technique used to determine the emotional tone behind words. It helps identify and categorize opinions expressed in a piece of text, especially to determine whether the writer’s attitude towards a particular topic, person, or entity is positive, negative, or neutral.

Each piece of text is analyzed to classify its sentiment as positive, negative, or neutral. This involves evaluating the language used and the context within which certain keywords appear. Differentiates between negative news that is relevant and that is not, significantly reducing false positives and ensuring a focus on genuine threats.

• Scoring As Per Linked Risks

Our solution gives a sentiment score based on the intensity and nature of the negative sentiment on each identified piece of adverse media. Then Results with high negative sentiment scores are prioritized for further manual review by our in-house analyst, ensuring that the most relevant adverse information is addressed promptly.

• Real-Time Data Updates

AML Watcher updates its adverse media database in real time, capturing the latest negative news as it appears. Ensures timely identification of news adverse information, reducing the risk of missing recent developments.

AML Watcher’s ongoing monitoring keeps you updated with continuously changing news and global trends, so you do not have to screen every time a big event occurs.

• Automated Under Human Expertise

AML Watcher leverages automation under human expertise to handle large volumes of data efficiently. High-priority items flagged by sentiment analysis are reviewed by our compliance experts to validate the findings and ensure no critical information is missed.

Insights from human reviewers are fed back into the machine-learning models to improve future sentiment analysis accuracy.

Scalable for organizations of any size, ensuring comprehensive coverage without the limitations of lengthy review processes.

• Broader Data Source

AML Watcher extracts data from a wide array of sources, including global news outlets, blogs, social media, and other digital platforms.

AML Watcher keeps 5000+ most reliable global media sources to precisely screen each risky profile associated with news headlines. Not only that, AML Watcher allows you to use your custom domains. So, you can include the domains that provide news relevant to your specific industry.