Abstract: A computer implemented method of remediating an increased vulnerability of a software system including a plurality of software components, the method including generating a vector representation of each software component derived from a neural network trained using training data defined from known vulnerabilities of the software components in the software system; aggregating the vector representations for the software component to an aggregate vector representation for a particular time; repeating the generating and the aggregating for a plurality of points in time to generate multiple generations of aggregate vector representations; comparing the multiple generations of aggregate vector representations to detect a change in an aggregate vector representation exceeding a maximum threshold degree of change as an indication of an increased vulnerability of the software system, responsive to which iteratively adjusting the software components in the software system and, at each iteration, regenerating an aggrega

Abstract: A computer implemented method of detecting an increased vulnerability of a software system including a plurality of software components, the method including generating a vector representation of each software component derived from a neural network trained using training data defined from known vulnerabilities of the software components in the software system; aggregating the vector representations for the software component to an aggregate vector representation for a particular time; repeating the generating and the aggregating for a plurality of points in time to generate multiple generations of aggregate vector representations; and comparing the multiple generations of aggregate vector representations to detect a change in an aggregate vector representation exceeding a maximum threshold degree of change as an indication of an increased vulnerability of the software system.

Abstract: Methods and systems are presented for providing a secured framework for facilitating electronic transactions using a multi-party computation approach. Under the multi-party computation approach, the task of authenticating a transaction conducted through a user account is distributed among multiple computer nodes. One or more secrets and shares of a secret are distributed among the multiple computer nodes. An authentication process is implemented such that at least a portion of the multiple computer nodes, including one or more required nodes, exceeding a predetermined number of nodes are needed to perform a set of computations using the corresponding secret(s) and/or shares of the secret in order to generate a digital signature for the user account. By verifying the digital signature using a public key of the user account, it can be determined that the participation requirement has been satisfied.