Abstract: A shock isolator is arranged between two automated coupler parts in a vibration testing unit. When the coupler parts are engaged and coupled during vibration testing of a component, the shock isolator is disabled, and when the coupler parts are disengaged and decoupled after vibration testing, the shock isolator is activated to absorb excess shock energy and prevent shock transfer between the coupler parts that would damage the test component. The shock isolator includes a bushing that is inserted in a lower part of the two automated coupler parts and a compressive fit rod that is press-fit into the bushing. The bushing has a chamfered volume and the compressive fit rod has a corresponding compressible volume that is displaced into the chamfered volume to disable the shock isolator. After vibration testing, the compressive fit rod is expandable to a regular shape to activate the shock isolator.

Abstract: A shock isolator is arranged between two automated coupler parts in a vibration testing unit. When the coupler parts are engaged and coupled during vibration testing of a component, the shock isolator is disabled, and when the coupler parts are disengaged and decoupled after vibration testing, the shock isolator is activated to absorb excess shock energy and prevent shock transfer between the coupler parts that would damage the test component. The shock isolator includes a bushing that is inserted in a lower part of the two automated coupler parts and a compressive fit rod that is press-fit into the bushing. The bushing has a chamfered volume and the compressive fit rod has a corresponding compressible volume that is displaced into the chamfered volume to disable the shock isolator. After vibration testing, the compressive fit rod is expandable to a regular shape to activate the shock isolator.

Abstract: There is presented a method, a computing device and a computing system for establishing secure communication between computing devices. A method for a first computing device to establish trusted communication with a second computing device comprises the first computing device sending a request to create a secure channel to the second computing device, the request comprising a first cryptographic element and a device identifier. The first computing device receives a channel identifier from the second computing device in response to the request, and a notification over a secure channel using the device identifier, the notification comprising a channel identifier and a second cryptographic element.

Abstract: FIDO (“Fast IDentity Online”) authentication processes and systems are described. In an embodiment, a FIDO (“Fast IDentity Online”) authentication process includes a FIDO information systems (IS) computer system receiving a FIDO authentication request for a transaction from a user device, the FIDO authentication request including user data and user device authenticator data, then verifying the user data and user device authenticator data, selecting a FIDO-certified server based on a list of authorized authenticators, business rules and the user device authenticator data, and transmitting the FIDO authentication request to the selected FIDO server. The process also includes the FIDO IS computer system receiving an authentication result from the FIDO-certified server, and transmitting the authentication result to the user device.

Abstract: There is presented a method, a computing device and a computing system for establishing secure communication between computing devices. A method for a first computing device to establish trusted communication with a second computing device comprises the first computing device sending a request to create a secure channel to the second computing device, the request comprising a first cryptographic element and a device identifier. The first computing device receives a channel identifier from the second computing device in response to the request, and a notification over a secure channel using the device identifier, the notification comprising a channel identifier and a second cryptographic element.

Abstract: Systems and processes for automatically configuring user authentication rules for each of a plurality of users for use in transactions. A neural network engine receives first party preferences data from a first party computer that includes user authentication requirement criteria associated with a plurality of transaction types, and receives at least two of user behavior data, user historical data, authenticator data associated with a mobile device of the user, and mobile device metadata. The neural network engine then generates an output value based on this data, transmits the output value to a score comparator for comparison to a required score specified by the first party, and receives feedback data from the score comparator when the output value is not within a tolerance of the required score. When the output value is within the tolerance, then the neural network engine generates user authentication rules recommendations and transmits them to the first party computer.

Abstract: FIDO (“Fast IDentity Online”) authentication processes and systems are described. In an embodiment, a FIDO (“Fast IDentity Online”) authentication process includes a FIDO information systems (IS) computer system receiving a FIDO authentication request for a transaction from a user device, the FIDO authentication request including user data and user device authenticator data, then verifying the user data and user device authenticator data, selecting a FIDO-certified server based on a list of authorized authenticators, business rules and the user device authenticator data, and transmitting the FIDO authentication request to the selected FIDO server. The process also includes the FIDO IS computer system receiving an authentication result from the FIDO-certified server, and transmitting the authentication result to the user device.

Abstract: FIDO (“Fast IDentity Online”) authentication processes and systems are described. In an embodiment, a FIDO information systems (IS) computer system receives a FIDO authentication request for a transaction from a user device, which includes user data and user device authenticator data. The FIDO IS computer system then verifies the user data and user device authenticator data, selects a FIDO-certified server, transmits the FIDO authentication request to the selected FIDO server, and receives a challenge message from the selected FIDO-certified server. The FIDO IS computer system next transmits the challenge message to the user device, receives a FIDO authentication response, transmits the FIDO authentication response to the selected FIDO-certified server, receives an authentication result from the FIDO-certified server, and transmits the authentication result to the user device.

Abstract: FIDO (“Fast IDentity Online”) authentication processes and systems are described. In an embodiment, a FIDO information systems (IS) computer system receives a FIDO authentication request for a transaction from a user device, which includes user data and user device authenticator data. The FIDO IS computer system then verifies the user data and user device authenticator data, selects a FIDO-certified server, transmits the FIDO authentication request to the selected FIDO server, and receives a challenge message from the selected FIDO-certified server. The FIDO IS computer system next transmits the challenge message to the user device, receives a FIDO authentication response, transmits the FIDO authentication response to the selected FIDO-certified server, receives an authentication result from the FIDO-certified server, and transmits the authentication result to the user device.

Abstract: Systems and processes for automatically configuring user authentication rules for each of a plurality of users for use in transactions. A neural network engine receives first party preferences data from a first party computer that includes user authentication requirement criteria associated with a plurality of transaction types, and receives at least two of user behavior data, user historical data, authenticator data associated with a mobile device of the user, and mobile device metadata. The neural network engine then generates an output value based on this data, transmits the output value to a score comparator for comparison to a required score specified by the first party, and receives feedback data from the score comparator when the output value is not within a tolerance of the required score. When the output value is within the tolerance, then the neural network engine generates user authentication rules recommendations and transmits them to the first party computer.