Adverse media detection: what it is, how it works and how to monitor it

Juliana Muñoz

Juliana Muñoz

In the field of remote identity verification, one of the most important aspects is the detection of adverse media. In this article, we’ll explain what it is, how it works, and how you can monitor this important functionality to ensure a robust and secure verification process.

What is adverse media detection?

Adverse media detection is a key functionality within remote identity verification solutions. It consists of the analysis and evaluation of the various means used by users to provide the documentation required during the digital onboarding process. 

In other words, when a user registers or requests access to a service, platform or application, they are usually required to provide certain identification documents, such as their identity card or passport. Adverse media detection is responsible for verifying the authenticity of these documents and detecting any attempt at fraud or identity theft.

How does adverse media detection work? 

Detection of adverse media is carried out through the use of advanced document recognition and analysis algorithms and techniques. These algorithms are capable of detecting specific patterns and characteristics that indicate the authenticity or forgery of a document. 

Some of the characteristics that are evaluated during the adverse media detection process are:

  • Watermark and Holograms: Algorithms detect the existence and authenticity of these security features present in many official documents.
  • OCR (optical character recognition): The data extracted from the document is analyzed and verified using OCR to detect inconsistencies or alterations.
  • Format and layout: Documents are compared against an established pattern to identify any irregularities in the format, layout, or layout of the elements.
  • Microprints: Microprints present in documents, which are often difficult to forge, are analyzed.


Adverse media detection is essential functionality in remote identity verification solutions. Through algorithms and advanced techniques, this functionality makes it possible to verify the authenticity of the documents provided by users and to detect possible fraud or identity theft attempts.

To ensure a robust and secure verification process, it is important to effectively monitor the detection of adverse media, establishing quality metrics, performing periodic tests, staying up to date, and implementing an alert and notification system.

In short, adverse media detection plays a critical role in the fight against fraud and phishing, helping to protect businesses and users from potential threats and risks.

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