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US 2026/0228362 A1Published application
Systems and methods for enhanced secrets manager using generative ai
OwnerAditya LAD, Fei CHEN +2inventors
InventorsAditya LAD, Fei CHEN, Jisoo HAN, Roopa Hiremath CHANDRASEKARAIAH
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Abstract
In some embodiments, the techniques described herein relate to a method including: reading, by a generative artificial intelligence (AI) agent executed by one or more processors, a property file including one or more current configurations of a configurable environment, the property file comprising one or more text entries describing an application of the configurable environment and one or more related secret entities; identifying, by the generative artificial intelligence (AI) agent, changes to the one or more current configurations; and implementing the identified changes.
Claims20
A method comprising:
- reading, by a generative artificial intelligence (AI) agent executed by one or more processors, a property file including one or more current configurations of a configurable environment, the property file comprising one or more text entries describing multiple applications of the configurable environment and one or more related secret entities, wherein the property file includes an incorrect spelling or incorrect punctuation;
- analyzing, by the generative AI agent, a configuration parameter relationship based on the property file and the configuration parameter's relationship on the application;
- determining, by the generative AI agent, a contention between resources of the multiple applications of the configurable environment based on the configuration parameter's relationship as compared to test-case configuration parameter's relationships of past configurations;
- querying, by the generative AI agent, a large language model (LLM) for a prefix identification;
- constructing, by the generative AI agent, a resource name including the prefix identification, an application name, and one of the one or more related secret entities;
- and
- integrating, by the generative AI agent, the resource name into a configuration setting of the property file.
4 more elements
A method comprising:
- reading, by a generative artificial intelligence (AI) agent executed by one or more processors, a property file including one or more current configurations of a configurable environment, the property file comprising one or more text entries describing multiple applications of the configurable environment and one or more related secret entities, wherein the property file includes an incorrect spelling or incorrect punctuation;
- analyzing, by the generative AI agent, a configuration parameter relationship based on the property file and the configuration parameter's relationship on the application;
- determining, by the generative AI agent, a security vulnerability of the multiple applications of the configurable environment based on the configuration parameter's relationship as compared to test-case configuration parameter's relationships of past configurations;
- querying, by the generative AI agent, a large language model (LLM) for a prefix identification;
- constructing, by the generative AI agent, a resource name including the prefix identification, an application name, and one of the one or more related secret entities;
- and
- integrating, by the generative AI agent, the resource name into a configuration setting of the property file.
4 more elements
A method comprising:
- reading, by a generative artificial intelligence (AI) agent executed by one or more processors, a property file including one or more current configurations of a configurable environment, the property file comprising one or more text entries describing multiple applications of the configurable environment and one or more related secret entities, wherein the property file includes an incorrect spelling or incorrect punctuation;
- analyzing, by the generative AI agent, a configuration parameter relationship based on the property file and the configuration parameter's relationship on the application;
- determining, by the generative AI agent, at least two incompatible settings of the multiple applications of the configurable environment based on the configuration parameter's relationship as compared to test-case configuration parameter's relationships of past configurations;
- querying, by the generative AI agent, a large language model (LLM) for a prefix identification;
- constructing, by the generative AI agent, a resource name including the prefix identification, an application name, and one of the one or more related secret entities;
- and
- integrating, by the generative AI agent, the resource name into a configuration setting of the property file.
4 more elements
Dependencies are inferred from the claim text.