Why Risk-Based Age Verification Is Smarter Than Traditional Methods

Traditional age verification methods are inadequate in the face of rising fraud tactics and often create unnecessary customer friction.

Author
Team Bureau

Did you know that nearly 60% of online businesses face challenges related to age verification and regulatory compliance? Ensuring that only age-appropriate individuals access your products or content is not just a regulatory requirement but also a crucial aspect of maintaining trust and security within your business.

Traditional age verification methods often fall short, leaving businesses vulnerable to fraud and non-compliance. Additionally, these are too invasive, causing unnecessary friction and abandonment during onboarding.

Enter the risk-based approach to age verification - a smarter, more dynamic solution designed to mitigate these risks effectively. An age verification software that can tailor verification processes to the specific risk level of each interaction helps enhance businesses security without compromising the user experience.

In this blog post, we’ll break down the basics of a risk-based age verification software and provide insights on implementing it in your business. By the end, you’ll be equipped with the knowledge to protect your business better while maintaining a seamless experience for your legitimate customers.

Understanding the Basics of a Risk-Based Age Verification software

What is Age Verification?

Age verification in cybersecurity is the process of confirming that a user meets the minimum age requirement for accessing certain online content or services. This is typically done through methods like ID checks, credit card validation, or third-party verification services to ensure compliance with legal and regulatory standards.

However, what our current ecosystem needs is to go a step further and have a more flexible and dynamic approach. Enter - Risk-based approach to age verification.

What is Risk-Based Age Verification?

Risk-based age verification is a method that customizes the level of verification required based on the risk associated with a specific transaction or user. Unlike traditional, one-size-fits-all approaches, a risk-based age verification platform considers a range of contextual factors in the user journey, including the specific use case, industry norms, jurisdictional regulations, and the organization's overall risk profile and tolerance.

For instance, factors such as the value of the transaction, the user's behavior, geographic location, and past interaction history are analyzed to determine the appropriate level of scrutiny.

In a high-risk scenario, such as a large purchase of age-restricted products, more rigorous steps like biometric checks and document verification may be necessary. Conversely, low-risk situations might only require basic checks, like verifying user information against public databases.

This dynamic risk-based approach ensures businesses apply the right level of verification effort where it matters most, enhancing security and compliance without unduly burdening the user.

Key Benefits of a Risk-Based Approach

1. Compliance with Evolving Regulations
   By tailoring verification processes to meet specific regulatory requirements, businesses can stay compliant with varying laws and standards across different regions. A risk-based age verification software ensures that your business adapts to evolving regulations efficiently, reducing the risk of non-compliance penalties and fostering trust with regulatory bodies.

2. Optimized User Experience
   Users engaging in low-risk activities enjoy a smoother, quicker verification process, enhancing their overall experience. This approach minimizes friction for legitimate users while maintaining robust security measures for higher-risk interactions. An optimized user experience can lead to higher customer satisfaction and retention.

3. Reduced Operational Cost
   A risk-based approach allows businesses to consolidate their verification needs into a single, comprehensive platform, reducing the need for multiple vendors. This consolidation simplifies management, reduces costs, and ensures consistency across all fraud verification processes.

4. Reduced Dependency on Engineering Resources
   Implementing a risk-based age verification software reduces the dependency on internal engineering resources. By leveraging advanced, pre-built verification solutions, businesses can save time and effort that would otherwise be spent on developing and maintaining custom verification systems. This allows engineering teams to focus on core business development.

5. Improved Speed and Flexibility
   A risk-based approach also provides improved speed and flexibility in adapting to different verification needs. It dynamically adjusts the verification process based on the risk level, ensuring quick and efficient user onboarding. This flexibility allows businesses to scale their verification processes seamlessly as they grow and expand into new markets.

Tailoring Your Age Verification Software

Step 1: Identifying Risk Levels

The first step in tailoring a risk-based age verification platform is identifying the risk levels associated with different transactions and user interactions. This involves analyzing various factors that contribute to risk, such as:

• Industry: Risk levels in age verification vary by regulation, misuse potential, data sensitivity, and transaction volume, requiring tailored verification processes for compliance and security.
• User Behavior: Unusual behavior, such as multiple failed login attempts or accessing the platform from a new location, can indicate potential fraud.
• Geographic Location: Certain regions may have higher incidences of fraud, requiring more rigorous verification.
• Past Interaction History: Users with a history of compliant behavior may pose less risk and require less stringent verification.

Step 2: Implementing Dynamic Verification Processes

After identifying risk levels, the next step is to implement dynamic verification processes that adjust according to the assessed risk. The risks can be classified into:

• Low-Risk Scenarios: Basic checks such as verifying user-provided information against public databases.
• Medium-Risk Scenarios: Additional steps such as automated document verification and cross-referencing information with third-party databases.
• High-Risk Scenarios: Comprehensive checks including biometric verification, manual review of documents, and in-depth analysis of user behavior.

Capabilities Driving A Risk-Based Approach

Several capabilities enable risk-based intelligence, particularly in the context of age verification, identity verification, and broader security applications. These technologies assess risk, verify identities, and ensure compliance with regulations by analyzing various data points and behavioral patterns.

Here are some key technologies that drive risk-based intelligence:

1. AI and ML: These are central to risk-based intelligence, offering advanced analytical capabilities to detect patterns and anomalies in data. These technologies can learn from historical data to predict and identify potential risks, allowing for dynamic adjustments in verification processes.

2. Device intelligence: Refers to the analysis of information related to the devices used by users. This includes device fingerprinting, which captures details about the device, such as its operating system, browser type, and IP address. Device intelligence can help identify suspicious activities, such as the use of multiple devices by a single user or changes in device characteristics that suggest potential fraud.

3. Behavioral biometrics: Involves analyzing patterns in how users interact with devices and applications. This includes keystroke dynamics, mouse movements, and touchscreen interactions. Behavioral biometrics can detect anomalies in user behavior that may indicate fraudulent activity.

4. Big Data Analytics: Involves processing large volumes of data to extract meaningful insights. In risk-based intelligence, big data analytics can identify trends and correlations that may indicate fraudulent behavior or other risks.

5. Database verification: Uses information from authoritative databases to confirm user identities. By cross-referencing user-provided information with these databases, businesses can verify age, identity, and other relevant attributes to mitigate risk.

6. Biometric technologies: Such as facial recognition, fingerprint scanning, and voice recognition provide robust methods for verifying a user's identity. Biometrics offer high security because biometric data is unique to each individual and difficult to forge.

Which Industries Would Benefit From a Risk-Based Approach?

1. E-Commerce Platforms
   E-commerce platforms dealing with age-restricted products, such as alcohol or tobacco, can significantly benefit from a risk-based age verification approach.

2. Online Gaming and Gambling
   The online gaming and gambling industry is another sector where risk-based age verification is crucial.

3. Financial Services
   Financial services companies, especially those offering online banking and digital wallets, need to verify the age of their users to comply with KYC and AML regulations.

Embracing a risk-based approach to age verification is a step towards a safer and more reliable online environment. This strategy not only shields your business from potential threats but also builds a foundation of trust and credibility with your customers.