Adverse online media, also referred to as negative news, is any form of behavioural misconduct or less-than-favourable information on an individual or business that can be found across multiple online sources, including traditional news outlets and unstructured sources.
An adverse media monitoring tool is crucial for maintaining the integrity, security, and reputation of an organization. It helps an organization identify potential risks associated with business stakeholders, such as clients, partners, executives, among others. It assists in meeting regulatory compliance by ensuring due diligence and ongoing monitoring of high-risk individuals and entities. Monitoring strengthens the Enhanced Due Diligence (EDD) by offering comprehensive and timely information about potential risks. Valital is a real-time adverse media analysis tool that helps organizations make better, more confident decisions about the people and entities with whom they do business.
Standard background checks typically include information found in databases. Valital’s AI-powered platform scours fast-moving, dynamic open-source intelligence (OSINT) to flag universally recognized misconducts on individuals: harassment, discrimination, financial crimes, violence, addiction, as well as negative news related to environmental, social and governance (ESG) matters on organizations. Databases will not typically capture some of this nuanced information and if they do, it’s often days after an incident occurs. With Valital, businesses have access to real-time information.
Valital’s platform is focused primarily on open-source intelligence (OSINT). If a database is publicly available, our AI will retrieve information from there.
Valital searches only publicly available, open-source intelligence (OSINT). It finds the information that anyone would be able to find if they had time to pore over millions of pieces of online information. That’s where AI comes in. AI does what no human being could possibly do.
We are committed to using AI responsibly and ethically. We design, develop, test, train and operate AI algorithms based on inclusive and representative data. Valital uses AI for a clear and transparent purpose, and we believe AI must be explainable, interpretable and transparent.
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a way that feels natural. In simple terms, NLP helps computers read human language so that the computers can identify information based on logic. Valital’s AI models are trained in French, English, Spanish and Portuguese.
Valital extracts, filters and analyzes adverse media on both individuals and entities. For validations of individuals, our algorithms flag universally recognized misconducts related to financial crimes, violence, discrimination, harassment and addiction. For entities, we analyze adverse media related to a range of financial and environmental, social and governance (ESG) topics.
As it pertains to the screening of individuals, Valital is designed to help teams detect, mitigate and respond to reputation risk posed by business stakeholders. The platform is specifically designed to help teams make better, more confident decisions about the people with whom they do business. Valital is most effective when used as part of an organization’s KYC, third-party verification and insider risk programs as well as other due diligence processes. It is also used to enhance background checks.
It depends. In some instances, our clients are so pleased with the accuracy of Valital’s results that they’ve opted to shelve some of their own customized tools. Others use Valital as part of a robust risk management process. Some teams that conducted manual research using search engines that opted to use Valital for a more efficient and standardized approach. In addition, our API makes it easier to integrate Valital into your system, decreasing the need for more tools.
Any organization that is concerned about reputation risk and having immediate access to fast-moving adverse online media on designated individuals and entities will want to integrate Valital into their risk management processes.Valital is most effective when used as part of an organization’s KYC/AML process, third-party verification, investment due diligence and enhanced background checks.
Search algorithms change multiple times during the day. Individuals conduct searches differently: some stop after page two of the search engine results page. Some go to page five. In other words, it’s a highly inconsistent process if done manually. And, human beings simply aren’t able to do the level of research needed to find the vast amount of data that is available online. A manual search process is inefficient, time-consuming and inconsistent. In addition, our LiveUpdate feature offers continuous monitoring, saving you time and effort.
Our NLP flags misconducts related to universally recognized misbehaviours: Discrimination, Financial crimes, Harassment, Violence and Addiction. It also flags information on litigation that is part of open-sourced intelligence. The AI is currently trained - in French, English, Spanish and Portuguese - to categorize a range of misbehaviours within these 5 broad categories, which means virtually all types of misconduct will be flagged. Our algorithms will continue to be trained in new languages.
For names of organizations, our algorithms extract, filter and analyze adverse news based on financial, environmental, social and governance (ESG) related risk factors.
Because online data is dynamic and rapidly changing, users can activate a live update functionality at any time, for any individual or group of individuals, and receive instant notifications of any adverse online news related to that individual or group. LiveUpdate is also available for screening of entities.
Yes.
Yes, we have a custom API for integration to third-party applications.
Valital's AI models search all sources of publicly available online information and has in place a robust source and content verification framework, which is always being assessed and updated.
Valital’s ID matching model is designed in such a way that you will need to enter limited information to conduct a search on an individual or an organization. Based on the information, we can determine the strength of the correlation between the data entered and the information available online. If the ID match is under a certain threshold, we will not include those results in your report.
Yes, in several distinct ways. An analyst performing more than 1,000 manual adverse media searches per year can save an average of 200 hours by using Valital. She will have access to three times more relevant links and fewer than 3 per cent of false positives. Valital’s AI analysis filters more than 90 per cent of irrelevant data before search results are returned.
Valital is a Saas-based platform, requiring virtually no implementation set up. Onboarding is almost automatic. You can also log in with your Microsoft and Google Single Sign On (SSO) credentials as well. You will need an administrator who can assign user management responsibilities.
Valital is the best value for money, because it is not based on licenses; rather, pricing is based on expected volumes of validations to be performed during the course of 12 months. As such, anyone within the organization that has a need for the tool would be able to use it for that number of validations.
Yes, we can schedule a demo with you and offer a free trial. Contact us for more details.