US 2023/0086609 A1Published application

Securely designing and executing an automation workflow based on validating the automation workflow

AssigneeAccenture Global Solutions Limited

InventorsCharles GRENET, Leon WHINE, Samuel James GLEESON, Robert ROBINSON, Luke HIGGINS, Aditi KULKARNI, Koushik M VIJAYARAGHAVAN

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Abstract

A device may receive workflow data identifying an automation request, and may request jobs for the workflow data. The device may receive encrypted jobs based on the request for the jobs, and may determine whether encryption keys for the encrypted jobs are valid. The device may determine whether workflow portions for the encrypted jobs are valid, and may determine whether to allow or deny each of the encrypted jobs based on whether the encryption keys and the workflow portions are valid. The device may execute the encrypted jobs determined to be allowed, to generate execution results, and may forgo execution of the encrypted jobs determined to be denied. The device may process the execution results and the encrypted jobs determined to be denied, with a machine learning model, to predict a final result for the automation request, and may perform actions based on the final result.

Claims20

Dependent claims

A method, comprising:

receiving, by a device, workflow data identifying an automation request associated with automating a workflow;
requesting, by the device, a plurality of jobs associated with the workflow data;
receiving, by the device, a plurality of encrypted jobs based on the request for the plurality of jobs;
determining, by the device, whether a plurality of encryption keys associated with the plurality of encrypted jobs are valid;
determining, by the device, whether a plurality of workflow portions associated with the plurality of encrypted jobs are valid;
determining, by the device, whether to allow or deny each of the plurality of encrypted jobs based on whether the plurality of encryption keys are valid and based on whether the plurality of workflow portions are valid;
executing, by the device, the plurality of encrypted jobs determined to be allowed, to generate execution results;
forgoing, by the device, execution of the plurality of encrypted jobs determined to be denied;
processing, by the device, the execution results and the plurality of encrypted jobs determined to be denied, with a machine learning model, to predict a final result for the automation request;
and
performing, by the device, one or more actions based on the final result.

8 more elements

A device, comprising:

one or more memories;
and
one or more processors, coupled to the one or more memories, configured to:
receive workflow data identifying an automation request associated with automating a workflow;
request a plurality of jobs associated with the workflow data;
receive a plurality of encrypted jobs based on the request for the plurality of jobs;
determine whether a plurality of encryption keys associated with the plurality of encrypted jobs are valid;
determine whether a plurality of workflow portions associated with the plurality of encrypted jobs are valid;
determine states associated with the plurality of workflow portions that are valid;
verify that the states are consistent with the workflow;
determine whether to allow or deny each of the plurality of encrypted jobs based on whether the plurality of encryption keys are valid, based on whether the plurality of workflow portions are valid, and based on verifying that the states are consistent with the workflow;
execute the plurality of encrypted jobs determined to be allowed, to generate execution results;
forgo execution of the plurality of encrypted jobs determined to be denied;
process the execution results and the plurality of encrypted jobs determined to be denied, with a machine learning model, to predict a final result for the automation request;
and
perform one or more actions based on the final result.

13 more elements

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

one or more instructions that, when executed by one or more processors of a device, cause the device to:
receive verified workflow portions associated with a plurality of verified workflows;
store the verified workflow portions in a workflow data structure;
receive workflow data identifying an automation request associated with automating a workflow;
request a plurality of jobs associated with the workflow data;
receive a plurality of encrypted jobs based on the request for the plurality of jobs;
determine whether a plurality of encryption keys associated with the plurality of encrypted jobs are valid;
determine whether a plurality of workflow portions associated with the plurality of encrypted jobs are valid based on the workflow data structure;
determine whether to allow or deny each of the plurality of encrypted jobs based on whether the plurality of encryption keys are valid and based on whether the plurality of workflow portions are valid;
execute the plurality of encrypted jobs determined to be allowed, to generate execution results;
forgo execution of the plurality of encrypted jobs determined to be denied;
process the execution results and the plurality of encrypted jobs determined to be denied, with a machine learning model, to predict a final result for the automation request;
and
perform one or more actions based on the final result.

11 more elements

Dependencies are inferred from the claim text.