Abstract: Systems and methods for evaluating the accuracy of a response to qualitative controls standardize a first dataset; apply one or more labels to one or more data points of the first dataset; cleanse the first dataset; vectorize the first dataset; split the first dataset into a training subset, a testing subset, and a validating subset; deploy a model based on the training subset, the testing subset, and the validating subset; assess based on the model, a response to a prompt, wherein the assessment is of at least one of the completeness, accuracy, or validity of the response; and output the assessment.

Abstract: Systems and methods for evaluating the accuracy of a response to qualitative controls receive a first dataset; select a first set of prompts in a prompt carousel based on the first dataset; determine based on the first dataset, whether or not additional context is required to generate a prompt; based on the determining, generate a prompt responsive to the first dataset; evaluate the generated prompt in a large language model (LLM); and output the evaluation.

Abstract: Methods and systems for scheduling execution of an automated controls assessment include receiving a user input to generate an automated controls assessment audit; receiving an area of audit for the audit; receiving a category of the audit; receiving scheduling data for executing the audit; determining whether the scheduling data is met; responsive to determining that the scheduling data is met, transmitting, to an API-based agent, an instruction to execute the audit; receiving, from the API-based agent, a response to the audit; processing, using a library of reusable features for controls assessment audits for a plurality of computer domains, the response to generate a result of the audit; and generating, for display, on a display device, an instance of a first user interface, wherein the instance of the first user interface comprises the result of the automated controls assessment audit.

Abstract: Methods and systems for scheduling execution of an automated controls assessment include receiving a user input to generate an automated controls assessment audit; receiving an area of audit for the audit; receiving a category of the audit; receiving scheduling data for executing the audit; determining whether the scheduling data is met; responsive to determining that the scheduling data is met, transmitting, to an API-based agent, an instruction to execute the audit; receiving, from the API-based agent, a response to the audit; processing, using a library of reusable features for controls assessment audits for a plurality of computer domains, the response to generate a result of the audit; and generating, for display, on a display device, an instance of a first user interface, wherein the instance of the first user interface comprises the result of the automated controls assessment audit.

Abstract: Methods and systems are described for implementing automated controls assessment through an application programming interface (“API”) driven software development kit. For example, the system may receive a response from an API-based agent to an automated controls assessment audit. The system may process the response, using a library of reusable features for controls assessment audits for a plurality of computer domains, to generate a result of the automated controls assessment audit. The system may then generate an outcome of the first automated controls assessment audit.

Abstract: Methods and systems are described for implementing automated controls assessment through an application programming interface (“API”) driven software development kit. For example, the system may receive a response from an API-based agent to an automated controls assessment audit. The system may process the response, using a library of reusable features for controls assessment audits for a plurality of computer domains, to generate a result of the automated controls assessment audit. The system may then generate an outcome of the first automated controls assessment audit.

Abstract: Methods and systems are described for implementing automated controls assessment through an application programming interface (“API”) driven software development kit. For example, the system may receive a response from an API-based agent to an automated controls assessment audit. The system may process the response, using a library of reusable features for controls assessment audits for a plurality of computer domains, to generate a result of the automated controls assessment audit. The system may then generate an outcome of the first automated controls assessment audit.

Abstract: Methods and systems are described for implementing automated controls assessment through an application programming interface (“API”) driven software development kit. For example, the system may receive a response from an API-based agent to an automated controls assessment audit. The system may process the response, using a library of reusable features for controls assessment audits for a plurality of computer domains, to generate a result of the automated controls assessment audit. The system may then generate an outcome of the first automated controls assessment audit.