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The definitive guide to customer identity verification  

Telesign Team
Telesign Team
20 min read February 6, 2025
All about customer identity verification

Trust is the foundation of every digital interaction, but in an era of escalating cyber threats, it must be earned—not assumed. Can you confidently say that the person accessing your service is who they claim to be? Fraudsters are continuously devising new strategies to exploit vulnerabilities, leading to substantial financial losses for companies. Beyond financial damage, failure to comply with regulatory standards can result in severe legal consequences. In this landscape, deploying a robust and reliable customer verification API has shifted from a competitive advantage to an operational necessity. 

The facts bear out the challenges organizations face today. The FBI reported receiving nearly 900,000 public cybercrime complaints in just one year. A Mastercard analysis uncovered that billions of dollars in fraud losses can occur in a single year, and the scope of the threat only continues to widen. It is predicted that the cumulative losses to online payment fraud, globally, will total more than $343 billion by 2027. 

Some attack methods are also on the rise. Account takeovers (ATO) have affected almost 29% of people surveyed, representing a 22% increase since a prior study in 2021. It’s clear that businesses and their customers face serious effects from fraud. 

For these reasons, intelligent, seamless customer identity verification is vital. Customers want to keep their accounts secure while enjoying the convenience of a seamless and quick sign-in or validation procedure. Businesses must obey regulatory requirements and protect users’ and their own interests at the same time.  

This article examines the facts about customer verification and explores the impact of technology on the process. We’ll also explain how customer identity verification is evolving as businesses combine authentication, fraud detection, and multiple digital identity signals to assess risk. We’ll also illuminate how your company can strengthen its approach to this mission-critical task with Telesign solutions for identity verification in a global, omnichannel environment. Discover how organizations can enhance fraud protection and deliver seamless user experiences across channels with our powerful Verify API solution and learn about your next steps.  

What is customer verification? 

To begin, one must understand what identity verification is, why we engage with the process and what’s typically used in such workflows today. Although the technology and techniques used can be quite complex, the actual process that the consumer faces should seem simple. Here’s what to know first. 

Customer verification defined 

Customer identity verification is a security-minded procedure that enables businesses to prevent fraud, meet regulatory requirements, and secure user accounts and information. It is the process a business uses to confirm that interactions with the organization truly originate from the person or organization they claim to represent. Businesses today use advanced technology to verify customer identities, with as much certainty as possible. 

The process can be as simple as confirming that a given user owns a particular account or as in-depth as using identity verification technology to check that a user’s supplied credentials match some government databases. Verification is an essential process that must take place before any grant of authorization or access to systems, resources, accounts and other digital assets.  

Customer identity verification vs. authentication: Identity verification establishes that a person is who they claim to be, while authentication confirms that the person attempting to access an account or perform an action is the authorized user. In practice, businesses may use both as part of a broader identity and fraud protection strategy.

Why customer verification matters 

Why make the effort to verify customers consistently? One of the most important answers is also obvious: it’s central to creating trust between organizations and customers. If you don’t handle a user’s information safely and verify that they’re behind any action on the account, you could expose those users to risks, including identity theft and financial losses. 

Your organization can suffer similarly adverse effects from bad actors. A lack of or inferior customer verification opens the door to account takeovers, fake account creation, spam and even fraud. Whether these issues consume resources or lead to fraud-related losses, neither outcome is conducive to doing business successfully. 

Regulations in numerous industries, especially those connected to finance and banking, require organizations to use identity verification solutions. These rules include Know Your Customer (KYC) regulations and anti-money laundering (AML) regulations. If you don’t take steps to verify a customer’s identity, you could inadvertently facilitate criminal activities. Therefore, verification is unavoidable in building trust, guarding against fraud, and meeting legal requirements. 

Today’s key methods for verification 

Technology facilitates several different ways to verify modern customers. Many organizations use a combination of methods. The right approach can vary based on regulatory needs, industry verticals, etc. There are two major methodologies to know: passive and active verification. Passive verification does not engage the user and can involve techniques such as behavior analysis. Active verification can require individuals to submit information, such as selfies or ID documents.  

Method 1: Passive verification 

In passive verification, a user’s proactive participation is unnecessary to confirm their identity. Passive methods use data analysis to determine if a user’s behaviors and presentation match patterns known to belong to the authentic individual. Passive verification can also play a background role in active verification procedures, but not always. 

This method could include reviewing patterns related to user interactions with a website, supposing the user makes the necessary allowances on their device. A passive verification may look at information such as: 

  • Known device information, such as the device’s identification, operating system version, and the user’s browser and its version. 
  • Historical user account data to support identification of unusual transactions. 
  • Behavioral patterns, like how a user swipes, taps, and navigates. 

Other digital identity signals can also contribute to passive risk assessment, including information associated with email addresses, IP addresses, phone numbers, and behavioral activity. Considering multiple signals can help businesses identify anomalies that may not be apparent from a single verification event.

Unexpected differences from prior interactions or anomalous behavior raise a red flag and signal that the user might not be the genuine account holder. A customer identity verification API makes passive verifications a simple matter to conduct. 

Method 2: Active verification 

In contrast, active verification requires users to engage in a process to confirm their identity.  Users actively provide this information, which a business compares against a trusted and secure source of record. Some approaches to active verification include: 

  • Biometric verification, which may include fingerprint data, facial features, or even voice characteristics. 
  • Document verification, which examines submitted documents such as a birth certificate or government-issued identification. 
  • Video verification involving a user recording a short video or appearing live over a video link. 

Even the collection of birthday information can be a form of active verification. Again, identity verification APIs can connect to the appropriate systems to verify that the supplied data or documents match the information in government databases. 

Combining both methods at different times can provide the most effective methodology  

The benefits of reliable user verification 

As you explore consumer verification services and how to set up secure customer onboarding in your business, consider the benefits your efforts can unlock. 

Security 

Cybercrime causes billions of dollars in losses every year. Fraud harms businesses and disrupts the lives of consumers. Identity theft can have effects that last for years, and account takeovers can do far more damage than the spread of spam on social media. For example, an individual could lose their life savings if a takeover occurs with their bank account. Identity verification fights back against the full range of threats that challenge account security. Better solutions equal peace of mind for your business and customers. 

Compliance 

In regulated industries, verification supports compliance. Know Your Customer (KYC) and anti-money laundering regulations are serious. Violations can be grave if your organization knowingly or unknowingly allows fraudsters to use your services. Fines for violations can stretch into hundreds or even millions of dollars. Avoiding such high financial risk is in your organization’s best interest. 

Customer experience improvements 

Innovative, reliable verification procedures do more than provide peace of mind for your users. They also enable a more streamlined approach to processes such as onboarding. When a customer wants to place an order or do a financial transaction, verification that works silently in the background delivers a frictionless process users love. Sign-up processes for your service can become much faster and more reliable. They enable you to weed out potentially fraudulent account creation requests while letting your verified users through to the next stage. 

Controlled costs 

Robust customer verification API solutions ultimately lead to enhanced cost-effectiveness for your operations. Without the rapid capabilities possible through automation and modern technology, manual verification must occur instead. Especially for KYC/AML procedures, such efforts can consume large amounts of time and effort. Manual workflows are often a significant source of human errors and mistakes that could lead to verification oversights. Technology accelerates the process, enhances confidence, and saves money—all at the same time. 

Top challenges in consumer identity verification 

Verification is fundamental to safe, secure online transactions and proper compliance, but that doesn’t mean it’s always a simple process. Some challenges remain. Good technology, thorough plans, and a proactive focus on creating strong and reliable procedures can help address those challenges. First, you need to know what you’re up against; here’s a quick review of the three core areas of concern you’ll need to navigate. 

1.      Balance strong security with a good user experience: It is possible to create very secure verification processes that are very tedious or difficult to use. Users may not wish to return if they encounter too much friction and pushback in verification procedures. To strike the right balance, you need to make the verification procedure as fast, simple, and straightforward as possible from the user’s perspective while the hard work of verification takes place almost invisibly. 

2.       Know that verification solutions can’t be static: Threats change constantly, and fraud tactics continue to grow more sophisticated. When bad actors learn how to defeat a verification method, fraud can run rampant. A proactive approach is vital; you must monitor changes in tactics and be ready to respond. 

3.       Keep an eye on compliance: Meeting the regulations in one region is not enough. Instead, you must have a system that can effectively achieve cross-border compliance with laws in the United States, the EU and elsewhere. From the General Data Protection Regulation (GDPR) to differences in KYC/AML rules, your solution and its provider must understand how to protect your business from legal liability for noncompliance at every level. 

Telesign’s Verify API checks each of these boxes. It delivers seamless user verification via their preferred communication channels with automatic failovers to back up delivery methods when necessary. Telesign continuously updates its software and monitors the threat environment to change procedures when new fraud techniques develop. Telesign also has a clear and precise viewpoint on compliance to support customer verification in any region. 

Digital identity verification trends for 2026

Customer verification is a global priority, driving ongoing research and innovation to strengthen strategies. Emerging technologies and new solutions are shaping the present and future of identity verification. As fraud becomes more sophisticated, businesses are increasingly combining identity signals, AI-powered risk detection, and authentication methods to determine whether an interaction should be trusted. What key trends are influencing customer identity verification today?

AI and machine learning 

Even the most sophisticated systems and human intervention can’t detect all the potential ways fraud can occur. Savvy threat actors and their technology or techniques can obfuscate and obscure fraudulent actions. Artificial intelligence (AI) and machine learning solutions currently lead the way in the fight against such problems. 

With AI/ML, it’s possible to analyze hundreds or even thousands of potential signals and indicators pointing to the potential for fraud. Anti-fraud models can use large volumes of data to identify anomalous behavior and suspicious activity. As an always-on solution, AI never needs to take a break: it’s always ready to monitor customer interactions and enhance the security of identification procedures. Over time and with more data, these models can become more adept at fraud detection.  

For example, Telesign’s Intelligence is designed to provide scalable, real-time risk insights that help businesses detect suspicious activity and respond to emerging fraud. The roadmap also introduces Email Intelligence, which assesses risk from an email address using behavioral and static attributes and provides a risk score, recommendation, and reason codes.

Digital identity signals beyond a single identifier

Customer identity verification is increasingly moving beyond a single piece of information, such as a phone number or document. Businesses can combine signals associated with email addresses, IP addresses, phone identity, behavioral activity, and other attributes to build a more complete picture of risk.

This approach can help organizations identify suspicious patterns earlier and make more informed decisions about whether to allow, challenge, or block an interaction.

Risk-based and adaptive verification

Verification does not have to be the same for every customer or every interaction. A risk-based approach can use available identity and behavioral signals to determine when additional verification or authentication is appropriate.

For lower-risk interactions, businesses can prioritize a streamlined experience. When risk signals indicate suspicious activity, they can apply stronger verification or authentication measures. This approach helps balance security with the customer experience.

Passwordless and low-friction authentication 

As businesses look for ways to strengthen authentication without adding unnecessary steps, passwordless and alternative authentication methods are becoming increasingly relevant. Telesign’s roadmap includes QR Verify for authenticating desktop logins, providing a way for users to authenticate by scanning a QR code with a mobile app.

Behavioral biometrics 

This trend pushes biometric identification to the next level. In traditional biometrics, a user’s physical characteristics are a part of the verification procedure. It includes elements such as a user’s fingerprint or face. However, in behavioral biometrics, systems examine how individual users interact with digital identity environments. Rather than fingerprints, this methodology might consider the patterns present in the way a user types, how someone navigates a website or app and even how they swipe around a touchscreen. These can all provide signals for behavioral analysis. 

When a system detects that a user’s behavioral biometrics don’t match expected patterns, it can flag potential fraud. Substantial differences might lead to an additional verification challenge or even the removal of access to a system. In combination with AI and other technologies, this next generation of biometrics may have a central role to play. 

With Telesign solutions, businesses can tap into cutting-edge customer verification solutions. Telesign continues to invest in identity, authentication, and AI-powered fraud intelligence, including Intelligence, Email Intelligence, Verify API enhancements, and expanded Phone ID capabilities.

The role of APIs in customer verification 

So far, we’ve discussed the basics of customer verification and mentioned the usefulness of APIs in this process. Let’s focus on these software applications and how they provide the framework for modern customer verifications. 

What is a customer verification API? 

An application programming interface (API), at its most basic level, is a way to bridge the gap between different software, servers, and systems. APIs facilitate the secure passage of information back and forth between systems to power a wide range of functionality. A customer verification API provides a means to integrate different methods to verify a user’s identity when interacting with a business online. An API facilitates the collection of identity information and communicating that information for verification purposes. 

Let’s consider a simple example. A user wants to log in to their account. Yet, you need to be sure that a user who has enabled multifactor authentication is the right person.  The user’s login attempt triggers an event that sends a one-time code to that user’s device through the API. When the user enters their code, the data flows back through the API which validates the result.  Upon confirmation of identity, the user can access the account. 

There are other ways to use an API for identity verification, too. For example, banks and institutions subject to KYC/AML regulations may use a document verification API to handle a user submission of an item such as a scanned driver’s license. The API could extract that information, communicate with a database that can confirm its validity, and return the result to the business. 

APIs can facilitate multiple approaches to verification based on circumstances and needs. Aside from using SMS to send a one-time password, a verification API could also send validation emails, collect and confirm matches between biometric data, and more. Advanced solutions can integrate with machine learning and AI models for enhanced fraud detection. Just one API, such as Telesign’s Verify API, can provide connections to multiple channels and verification methods. 

Modern customer verification APIs can also support risk-based workflows by bringing together verification methods and identity signals. This allows businesses to use the appropriate verification or authentication method based on the customer journey, available signals, and level of risk.

What are the benefits of API usage? 

Using an API for customer verification offers benefits that can prove valuable to modern organizations, not just because they simplify compliance. They also provide advantages that include: 

  • Speed: APIs allow for rapid verification of customer identities to facilitate smoother experiences and quicker logins for user satisfaction. 
  • Automation: Eliminate more manual tasks to keep your system agile while reducing potential errors. 
  • Scalability: No matter the size of your operations, the correct API can provide robust functionality for small- and large-scale, high-volume applications. 
  • Real-time verification: Fight fraud through early detection and know immediately whether a customer is the claimed individual. 

APIs strengthen security, offer ease of use and reduce friction in verification processes. 

Features to look for in an API to verify customer identity  

APIs are a beneficial solution to power verification workflows. How do you select a solution that aligns with your requirements, from a good UX to regulatory compliance? It helps to know what to look for as you explore the market and evaluate your options. Review some of the most important factors to consider: 

  • Strong security: The API you select should have ironclad security measures, including robust encryption, to keep data secure at all points and prevent the exploitation of potential vulnerabilities by cyber criminals. 
  • Simple integration: The sooner you can go live with your solution, the faster you can reduce fraud risks and improve customer experiences. Select an API that’s easy to understand and integrate into your current business systems. 
  • High performance at scale: Your API should perform equally well in low and high-volume environments, and it should be able to grow along with your business. 
  • Support for regulatory compliance: Any API you select should be able to meet the requirements in your region, whether related to the GDPR, the California Consumer Privacy Act (CCPA) or local AML/KYC rules.  
  • Support for multifactor authentication: MFA is a core element in online security today, and your API should support workflows such as sending one-time passwords via SMS, voice or other channels. 
  • Phone number verification: APIs equipped with AI/ML integration provide intelligence around which phone numbers are authentic, fake or out of service. Only send codes to valid, trustworthy phone numbers using intelligent products that analyze multiple signals. 
  • Support for biometric authentication: Depending on your application or industry, you may wish to invest in an API that supports fingerprint matches, facial recognition, voice print analysis or other elements that require a user’s physical interaction. 
  • Support for document verification: An API should facilitate document-based checks for AML/KYC efforts. In other applications, you must confirm that a user’s official documents are valid. A knowledge-based verification API that asks questions based on official records can also be valuable. 
  • Risk scores and fraud detection capabilities: Explore digital identity verification solutions that can analyze multiple factors to score an interaction with a quantifiable level of risk to detect and stop fraud. 
  • Support for multiple digital identity signals: Consider whether the solution can incorporate signals beyond a phone number or single verification event, such as email, IP, behavioral, and other relevant identity attributes.
  • Flexible authentication methods: Look for solutions that can support different authentication approaches as customer journeys and security requirements evolve.

How artificial intelligence impacts verification 

Artificial intelligence and machine learning technologies have advanced significantly in recent years. Further significant improvements are likely to occur in the near and long term. AI already impacted the customer identity verification process considerably. As intruders become more sophisticated, the deep learning and analytical capabilities of AI models will be a valuable asset in the effort to close off potential attack vectors. How can AI help? 

AI/ML models can ingest massive amounts of data and learn to detect patterns based on many details. Even in a simple identification procedure, an AI model can monitor many information signals to support better customer verification. What are some of the more specific features AI offers? 

AI models can learn how users usually behave and interact with an organization. When those behaviors don’t match the model’s expectations, it can flag such actions as an anomaly. With greater confidence, an AI model may even designate actions as threats and trigger events that lock down and secure an account or restricted resources.  

Events that could raise flags include log-in events from unusual or remote locations, sudden high-value transactions or even deviations in standard purchase patterns. Humans can’t easily detect these patterns, but an AI trained to detect fraud can find them rapidly. 

AI can also enable predictive analytics to look at factors that indicate a higher risk of fraud even before a user completes an action. High-risk users can include brand-new accounts, accounts with recently-changed passwords and accounts accessed from a new location. Sudden changes in shipping or billing information or transactions with an unusually high total can also be a red flag in AI analysis.  

The real-time nature of such analysis is the most valuable part of AI applications. These solutions can process verification data and flag risky behavior nearly instantly. The sooner you can identify and stop potential fraud, the better your organization can protect itself. 

Telesign solutions expand this approach through Intelligence, which is designed to provide scalable, real-time risk insights, and Email Intelligence, which can assess fraud risk from an email address using behavioral and static attributes. These capabilities illustrate how customer verification is evolving from checking a single credential toward analyzing multiple signals to assess risk.

Best practices for user verification implementation 

What does it take to successfully implement a new customer verification API? Look for API and identity verification providers that deliver exceptional performance and have a proven track record of success, such as Telesign. 

Remember that you must consider balancing the cost and resources associated with API calls and usage with your need for greater security. Here are a few quick tips to keep in mind as you integrate and implement your solution. 

  • Put APIs behind gateways to provide additional protection and avoid situations that could allow someone to exploit an API vulnerability. Gateways simplify traffic control, especially in higher-volume applications. 
  • Set rate limits to prevent API abuse via floods of requests. 
  • Validate all data you receive to ensure it is in the proper format and does not violate any constraints. 
  • Keep detailed logs for simpler and faster audits. 
  • Validate requests using phone number intelligence solutions to avoid resources wasted on invalid numbers. 
  • Use risk-based verification: Not every interaction requires the same level of verification. Use available identity and risk signals to determine when additional authentication or verification is appropriate, helping balance security with the customer experience.

With a reliable partner and the latest technology, you can implement an API system that is safe, secure, and supports regulatory compliance for identity verification. 

Explore Telesign customer identity verification solutions 

For businesses that require a versatile, scalable and highly reliable verification solution, Verify API delivers the functionality your organization needs today.  

Verify API unifies different verification channels under one API endpoint. That lets you reach your users where they are today and where they will be tomorrow. Connect only to the channels you need right now, such as SMS verification, and continue to expand to other channels as your needs or audience change.  

Telesign’s Verify API is highly secure and built to deliver a high level of reliability while users receive a simple, streamlined experience that makes verification fast and simple. Verify API also supports custom routing for global communications strategies that helps keep costs under control without impacting security. 

The way it works is simple: 

  • A user initiates a login request from their device using a phone number or an account with the phone number information attached. 
  • You select the channel where you want to provide verification. The Verify API supports omnichannel verification so that you can offer accessible solutions. For example, you could offer both SMS and voice delivery options at the same time. If one channel fails, your operations can seamlessly return to an alternative. 
  • Authentication occurs via the API in real time to provide a rapid response. 
  • The user successfully logs in upon verification. 

This seamless process is familiar to users and easy for them to navigate. It’s an effective way to verify and secure customer onboarding. It provides the necessary means to protect your business and your customers from account takeovers and fraud. This API also integrates quickly into your current systems for a faster ROI and better protection against bad actors.  

Telesign in action: a real-world use case 

Telesign delivers reliable fraud protection solutions for many major clients worldwide in support of more competent, safer operations. Consider one success story involving our identity verification API and a multinational corporation. 

Ubisoft is a billion-dollar company engaged in developing and publishing video games, including online and multiplayer experiences. Ubisoft desired a smarter, stronger way to secure user accounts in an environment rife with the potential for fraudulent takeovers from threat actors, would-be cheaters and more. The company partnered with Telesign to offer users a way to enable multifactor authentication with their mobile devices. 

With over 140 million players worldwide, Ubisoft is interested in maintaining a safe, secure and reliable digital experience. Ubisoft worked with Telesign to equip customer accounts with mobile phone number verification options to enhance account security. Adding a phone number to account details provides additional protection, and another means to verify that a sign-in comes from a valid account holder. 

Ubisoft also leverages Intelligence to avoid money wasted on SMS messages sent to undeliverable destinations, such as landlines or a potentially fraudulent/fake phone number. Machine learning supplied by Telesign also flags risky SMS traffic to cut off more attack vectors. 

Together, Telesign and Ubisoft deliver a better user experience that enhances security and reduces fraud for the developer. 

Strengthen your approach to identity verification today 

With billions of dollars in fraud losses and millions of individuals affected by bad actors, there is a clear need for stronger, more robust security online. To preserve the reliability and sanctity of digital transactions, businesses and customers need a means of establishing trust. Without the explicit knowledge that a customer is who they claim to be, your organization could leave the door open for identity theft, account takeovers, financial losses and more. 

A robust means of customer verification is central to both efforts to protect your business and to provide the best customer experience possible. Consider your current approach to verification processes. Are they as agile and reliable as you’d like, or is there room to improve outcomes for all parties? As technology advances and new AI-powered solutions mature, organizations must proactively recognize opportunities to improve. 

With Verify API, you can reach your customers through their preferred channels. You can create a unified verification experience while using AI and machine learning to strengthen risk detection and protect customer interactions. compliance requirements, keep fraudsters away from user accounts and build trust through easy verification experiences. Connect with the Telesign team today to learn more about how you can improve your customer identity verification processes in your business today. 

Frequently Asked Questions

What is customer identity verification?

Customer identity verification is the process businesses use to confirm that a person or organization is who they claim to be. It helps organizations protect accounts, prevent fraud, meet regulatory requirements, and establish trust throughout the customer journey.
Verification can involve different types of information and methods depending on the interaction and the level of risk. These can include phone numbers, email addresses, identity documents, biometric information, behavioral patterns, and other digital identity signals.
Modern identity verification increasingly combines multiple signals rather than relying on a single credential. By evaluating signals such as phone, email, behavioral, and other identity attributes, businesses can build a more complete view of an interaction and determine when additional verification or authentication may be appropriate.

How does customer identity verification work?  

Customer identity verification can work in several ways, depending on the business, industry, customer journey, and regulatory requirements. Some methods require active participation from the customer, such as submitting an identity document, selfie, or other information. Other methods can work passively by analyzing information and behavior in the background.
Modern verification workflows can also combine multiple identity and risk signals. For example, businesses may evaluate phone, email, behavioral, device, or other available signals to identify anomalies and determine whether an interaction requires additional verification.
APIs can connect these verification methods to business systems and customer journeys, enabling businesses to automate verification, respond to risk in real time, and apply different verification or authentication methods when needed.

What is the difference between identity verification and authentication?  

Identity verification and authentication are related but serve different purposes. Identity verification establishes that a person is who they claim to be, while authentication confirms that the person attempting to access an account or perform an action is the authorized user.
For example, a business might verify a customer’s identity during account creation by checking information they provide against a trusted source. Later, when that customer signs in, the business can authenticate them using a one-time passcode, another verification method, or an alternative authentication experience.
Businesses may use both processes as part of a broader identity and fraud protection strategy. The appropriate approach depends on the customer journey, the information available, and the level of risk associated with the interaction.

What methods are used for customer identity verification?  

The main methods of customer identity verification include both active and passive approaches. 
Active verification requires the customer to participate in the verification process.
Examples include: 
Identity document verification 
Biometric verification 
Video verification 
One-time passcode verification 
Other forms of multifactor authentication 
Passive verification evaluates information or behavior without requiring the customer to complete an additional verification step.
Examples can include: 
Device information 
Behavioral patterns 
Historical account activity 
Phone identity signals 
Email signals 
IP or other digital identity signals 
The strongest approach is not necessarily to use every available method. Businesses can combine methods and signals according to the customer journey and the level of risk, helping balance fraud protection with a streamlined customer experience. 

How does AI improve customer identity verification? 

AI and machine learning can help businesses analyze large volumes of identity and behavioral signals to identify patterns and anomalies associated with fraud. Instead of relying on a single verification result, AI-powered systems can evaluate multiple signals in real time and help determine whether an interaction presents a higher level of risk.
For example, Telesign’s Intelligence capabilities use machine learning to analyze signals associated with digital interactions and identify potential fraud risks. Intelligence is designed to provide scalable, real-time risk insights, while Email Intelligence can assess risk using information associated with an email address and provide a risk score, recommendation, and reason codes.
This approach can help businesses detect suspicious activity earlier and determine when to allow, challenge, or block an interaction. As fraud tactics evolve, AI-powered risk analysis can complement traditional verification methods by providing additional context about the interaction and the user behind it.