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How does AI help in identity verification services?

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Introduction

The digital world has a major concern about data security. There are several ways to verify identity, but it’s not easy to do so. In this digital age, there is a need to protect the identity of people from fraudsters. For example, if someone wants to open an account in any bank or mobile wallet service provider, then they have to verify their identity through various documents like PAN card, Aadhaar card, etc., which can take weeks together before getting verified by human beings on ground level. So how does AI help in IDV?

The verification process in a nutshell

The process of identity verification is a multi-step process.

The first step is to collect information about the person, which includes name and age.

The second step is to verify the information collected in the first step, by cross-checking it with their social media profiles or other public databases like government records.

The third and final step is to make a decision about whether or not they are who they say they are.

How AI helps IDV?

The biggest benefit of AI in IDV is that it helps identify whether the data provided by the user is valid or not. It scans through all the data provided by the user and determines if there’s any information that could be used for fraud purposes. The other benefits are:

  • Identifying patterns: AI can detect patterns of behavior that indicate suspicious activity. For example, if you’re trying to buy something online and make multiple purchases within a short period of time, it might be an indication that something fishy is going on with your account.
  • Predicting risk: Just like an insurance company uses machine learning models to predict risks related to car accidents, criminals who want to commit financial fraud may also display characteristics that can be identified by machine learning models such as credit score or geographical location where they live in order predict their risk levels (and thus decide whether they should offer them a loan).

What are the benefits of AI-based IDV service?

AI-based IDV service offers several benefits over traditional systems.

  • Accuracy: A machine learning model can be trained to accurately predict whether a person’s identity is valid, invalid, or unknown. This is a huge advantage over manual processes, which are open to human error and bias that can lead to incorrect decisions.
  • Speed: AI models can complete tasks quickly by processing large amounts of data in parallel without requiring excessive human intervention or oversight; this allows for high-throughput operations and greater efficiency than traditional IDV solutions like call centers or portals that require manual processing of applications by an operator working alone at their desk with no time pressure (or in some cases even multiple operators working together). In addition, modern neural networks have achieved near-perfect accuracy on many tasks including image recognition (99% accuracy), speech recognition (98% accuracy), language translation (91% accuracy), and video analysis (90% accuracy). This means that if there are no issues with the process being tested then almost every single application will pass through successfully before reaching human eyes at any point during its journey through your organization’s system – greatly reducing the potential for mistakes caused by incorrect wordings or typos made during registration etcetera.
  • Security: The security level provided by AI-based IDV services is much higher than traditional methods because there are fewer opportunities for fraudsters; people who want access must provide correct information about themselves so they’re unlikely ever get through unless they’re actually who they claim themselves as being online.”

Identity verification and fraud detection are major concerns for the digital world.

The digital world has made it easier to conduct financial transactions and make payments, but it also makes it easier for fraudsters to commit identity theft. According to the FBI, nearly 9 million people were victims of some form of identity theft in 2017 alone. In an effort to protect customers and their personal information, banks have begun using artificial intelligence (AI) algorithms as a tool against fraud detection.

AI can accurately distinguish between fraudulent transactions and legitimate ones by analyzing patterns associated with each type of transaction. For example, if an individual has recently made several large purchases at different locations over a short period of time and then suddenly makes two small purchases at one location within 24 hours—this may be cause for concern because most people do not spend their money in this manner unless they are trying something suspiciously quick or possibly fraudulent activity is occurring due to which they cannot wait until the next day before making another purchase from another store again however this time only one item instead two items which means that perhaps these purchases might be related somehow such as either buying groceries together as well as paying bills together via mail order so, therefore, there’s no need.

AI is a boon to the Identity Verification Service industry.

AI can help in Identity Verification Services by providing real-time alerts and recommendations for improved security, as well as improving the accuracy of results.

Once you have your AI system set up, it will start to gather data—and with each new transaction you run through your system, it will gather more and more information about your users. With this growing data set, your AI engine will be able to learn how people behave on the website or platform they interact with. This might include:

  • How long do they spend browsing before buying?
  • Do they abandon their shopping cart if there’s a problem with payment?
  • What are common questions customers ask about shipping methods/times?

Once these patterns have been established by machine learning algorithms over time (sometimes weeks), you should know exactly what kind of people use your service at what times—and what kind of information they need from you before making their purchase decision!

Conclusion

With the advent of Artificial Intelligence (AI), we are looking at a revolution in the Identity Verification Services industry. It is no longer a question of whether AI can be used to solve this problem, but rather how exactly it will help address these issues and what kind of benefits it can bring.