Challenge-response authentication using generative artificial intelligence

US2026010591A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2026010591-A1
Application numberUS-202418762810-A
CountryUS
Kind codeA1
Filing dateJul 3, 2024
Priority dateJul 3, 2024
Publication dateJan 8, 2026
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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Computer-implemented methods for a challenge-response authentication system using generative artificial intelligence (AI). Aspects include generating a prompt for an object of a randomly selected output type. Aspects further include generating a solution object of the randomly selected output type based on the prompt using a generative AI engine. Aspects also include generating a candidate object of the randomly selected output type based on a modified prompt using the generative AI engine. Aspects further include presenting a challenge-response test comprising a question based on the prompt, the solution object, and the candidate object to a user device. Aspects also include performing a responsive action in response to receiving a response to the challenge-response test from the user device comprising an object selection.

First claim

Opening claim text (preview).

What is claimed is: 1 . A computer-implemented method comprising: generating a prompt for an object of a randomly selected output type; generating a solution object of the randomly selected output type based on the prompt using a generative artificial intelligence (AI) engine; generating a candidate object of the randomly selected output type based on a modified prompt using the generative AI engine; presenting a challenge-response test comprising a question based on the prompt, the solution object, and the candidate object to a user device; and in response to receiving a response to the challenge-response test from the user device comprising an object selection, performing a responsive action. 2 . The computer-implemented method of claim 1 , wherein the generative AI engine is a text-to-image generative AI engine, a text-to-video generative AI engine, a text-to-audio generative AI engine, or a text-to-text generative AI engine. 3 . The computer-implemented method of claim 1 , wherein the responsive action comprises: determining that the object selection of the response matches the solution object; and granting the user device access to a protected resource. 4 . The computer-implemented method of claim 1 , wherein the responsive action comprises: determining that the object selection of the response does not match the solution object; and performing a security action comprising preventing access to a protected resource for the user device or presenting a second question, a second solution object, and a second candidate object to the user of the user device. 5 . The computer-implemented method of claim 1 , further comprising generating the modified prompt by removing an entity from the prompt. 6 . The computer-implemented method of claim 1 , further comprising: generating, by a text-to-text generative AI engine, the question based on the prompt. 7 . The computer-implemented method of claim 1 , wherein the randomly selected output type is audio, video, text, or image. 8 . A system comprising: a memory having computer readable instructions; and one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising: generating a prompt for an object of a randomly selected output type; generating a solution object of the randomly selected output type based on the prompt using a generative artificial intelligence (AI) engine; generating a candidate object of the randomly selected output type based on a modified prompt using the generative AI engine; presenting a challenge-response test comprising a question based on the prompt, the solution object, and the candidate object to a user device; and in response to receiving a response to the challenge-response test from the user device comprising an object selection, performing a responsive action. 9 . The system of claim 8 , wherein the generative AI engine is a text-to-image generative AI engine, a text-to-video generative AI engine, a text-to-audio generative AI engine, or a text-to-text generative AI engine. 10 . The system of claim 8 , wherein the responsive action comprises: determining that the object selection of the response matches the solution object; and granting the user device access to a protected resource. 11 . The system of claim 8 , wherein the responsive action comprises: determining that the object selection of the response does not match the solution object; and performing a security action comprising preventing access to a protected resource for the user device or presenting a second question, a second solution object, and a second candidate object to the user of the user device. 12 . The system of claim 8 , wherein the operations further comprise generating the modified prompt by removing an entity from the prompt. 13 . The system of claim 8 , wherein the operations further comprise: generating, by a text-to-text generative AI engine, the question based on the prompt. 14 . The system of claim 8 , wherein the randomly selected output type is audio, video, text, or image. 15 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by one or more processors to cause the one or more processors to perform operations comprising: generating a prompt for an object of a randomly selected output type; generating a solution object of the randomly selected output type based on the prompt using a generative artificial intelligence (AI) engine; generating a candidate object of the randomly selected output type based on a modified prompt using the generative AI engine; presenting a challenge-response test comprising a question based on the prompt, the solution object, and the candidate object to a user device; and in response to receiving a response to the challenge-response test from the user device comprising an object selection, performing a responsive action. 16 . The computer program product of claim 15 , wherein the generative AI engine is a text-to-image generative AI engine, a text-to-video generative AI engine, a text-to-audio generative AI engine, or a text-to-text generative AI engine. 17 . The computer program product of claim 15 , wherein the responsive action comprises: determining that the object selection of the response matches the solution object; and granting the user device access to a protected resource. 18 . The computer program product of claim 15 , wherein the responsive action comprises: determining that the object selection of the response matches the solution object; and performing a security action comprising preventing access to a protected resource for the user device or presenting a second question, a second solution object, and a second candidate object to the user of the user device. 19 . The computer program product of claim 15 , wherein the operations further comprise generating the modified prompt by removing an entity from the prompt. 20 . The computer program product of claim 15 , wherein the operations further comprise: generating, by a text-to-text generative AI engine, the question based on the prompt.

Assignees

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Classifications

  • Verifying human interaction, e.g., Captcha · CPC title

  • G06F21/31Primary

    User authentication · CPC title

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What does patent US2026010591A1 cover?
Computer-implemented methods for a challenge-response authentication system using generative artificial intelligence (AI). Aspects include generating a prompt for an object of a randomly selected output type. Aspects further include generating a solution object of the randomly selected output type based on the prompt using a generative AI engine. Aspects also include generating a candidate obje…
Who is the assignee on this patent?
Kyndryl Inc
What technology area does this patent fall under?
Primary CPC classification G06F21/31. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jan 08 2026 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).