18515410. ADAPTIVE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR TOKEN VERIFICATION simplified abstract (Capital One Services, LLC)

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ADAPTIVE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR TOKEN VERIFICATION

Organization Name

Capital One Services, LLC

Inventor(s)

Allison Fenichel of Brooklyn NY (US)

Brice Elder of Brooklyn NY (US)

Varun Gupta of Edison NY (US)

ADAPTIVE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR TOKEN VERIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18515410 titled 'ADAPTIVE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR TOKEN VERIFICATION

Simplified Explanation

The patent application describes systems and methods for adaptive token verification, where a verification model is trained to verify tokenized requests based on system identifiers. The system receives tokenized requests from external systems, generates output based on the system identifier, and either grants or blocks the request based on the output.

  • Training a verification model to verify tokenized requests based on system identifiers
  • Receiving tokenized requests from external systems with system identifiers
  • Generating output of the verification model based on the system identifier
  • Granting or blocking the request based on the output

Potential Applications

This technology could be applied in:

  • Secure access control systems
  • Fraud detection systems
  • Identity verification systems

Problems Solved

This technology helps in:

  • Preventing unauthorized access
  • Enhancing security measures
  • Streamlining verification processes

Benefits

The benefits of this technology include:

  • Improved security
  • Efficient verification of requests
  • Customizable access control

Potential Commercial Applications

The technology could be commercially applied in:

  • Banking and financial institutions
  • E-commerce platforms
  • Government agencies

Possible Prior Art

One possible prior art could be traditional token-based authentication systems used in various industries before the advent of adaptive token verification systems.

Unanswered Questions

How does the system handle false positives in verification?

The system may have mechanisms in place to reduce false positives, such as implementing additional verification steps or thresholds.

What is the scalability of the system for handling a large volume of tokenized requests?

The system may have scalability features like distributed processing or cloud-based infrastructure to handle a high volume of requests efficiently.


Original Abstract Submitted

Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.