Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may determine that a predetermined period of time has elapsed since finalizing an onboarding process. The computing platform may receive spot check verification inputs indicative of a user identity and may direct a mitigation analysis and output generation platform to analyze the spot check verification inputs. The computing platform may receive an indication of a correlation between the spot check verification inputs and expected spot check verification inputs. In response to determining that the correlation exceeds a predetermined threshold, the computing platform may determine that an additional verification test should be conducted, and may direct the mobile device to display an interface that prompts for additional onboarding verification inputs.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may initiate an onboarding process with a mobile device. The computing platform may receive one or more onboarding verification inputs indicative of a user identity. The computing platform may send commands directing a mitigation analysis and output generation platform to analyze the onboarding verification inputs. The computing platform may receive a mitigation output indicating a degree of correlation between the one or more received onboarding verification inputs and expected onboarding verification inputs.

Abstract: Methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests and collecting and analyzing social data to generate an output are provided. In some examples, user information may be received and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. Upon initiating a test, data may be collected from the one or more sensors. The collected sensor data may be transmitted to the system and processed using one or more machine learning datasets. Additionally, social data may be collected and analyzed using one or more machine learning datasets to generate a social profile. The sensor data and social profile may be used together to generate an output.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may determine that a predetermined period of time has elapsed since finalizing an onboarding process. The computing platform may receive spot check verification inputs indicative of a user identity and may direct a mitigation analysis and output generation platform to analyze the spot check verification inputs. The computing platform may receive an indication of a correlation between the spot check verification inputs and expected spot check verification inputs. In response to determining that the correlation exceeds a predetermined threshold, the computing platform may determine that an additional verification test should be conducted, and may direct the mobile device to display an interface that prompts for additional onboarding verification inputs.

Abstract: Methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests and collecting and analyzing social data to generate an output are provided. In some examples, user information may be received and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. Upon initiating a test, data may be collected from the one or more sensors. The collected sensor data may be transmitted to the system and processed using one or more machine learning datasets. Additionally, social data may be collected and analyzed using one or more machine learning datasets to generate a social profile. The sensor data and social profile may be used together to generate an output.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may initiate an onboarding process with a mobile device. The computing platform may receive one or more onboarding verification inputs indicative of a user identity. The computing platform may send commands directing a mitigation analysis and output generation platform to analyze the onboarding verification inputs. The computing platform may receive a mitigation output indicating a degree of correlation between the one or more received onboarding verification inputs and expected onboarding verification inputs.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved mitigation analysis and policy management techniques to improve onboarding security. A computing platform may determine that a predetermined period of time has elapsed since finalizing an onboarding process. The computing platform may receive spot-check verification inputs indicative of a user identity and may direct a mitigation analysis and output generation platform to analyze the spot-check verification inputs. The computing platform may receive an indication of a correlation between the spot-check verification inputs and expected spot-check verification inputs. In response to determining that the correlation exceeds a predetermined threshold, the computing platform may determine that an additional verification test should be conducted, and may direct a mobile or other computing device to display an interface that prompts for additional onboarding verification inputs.

Abstract: Methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests and collecting and analyzing social data to generate an output are provided. In some examples, user information may be received and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. Upon initiating a test, data may be collected from the one or more sensors. The collected sensor data may be transmitted to the system and processed using one or more machine learning datasets. Additionally, social data may be collected and analyzed using one or more machine learning datasets to generate a social profile. The sensor data and social profile may be used together to generate an output.

Abstract: An organic additive is removed from a ceramic honeycomb by an improved method by contacting each end of the extruded honeycomb with a member that has a gas permeability no greater than the outer wall, the member essentially covering the ends and heating the honeycomb to a temperature sufficient to remove the organic additive.

Abstract: The present invention is a continuous process for hydrogenating an unsaturated polymer comprising: contacting the unsaturated polymer with a hydrogenating agent in a fixed bed reactor, wherein the reactor is packed with a hydrogenation catalyst characterized in that the hydrogenation catalyst comprises a Group VIII metal component and at least one deactivation resistant component.