SYSTEM AND METHOD FOR COMBINING CYBER-SECURITY THREAT DETECTIONS

    公开(公告)号:US20240005001A1

    公开(公告)日:2024-01-04

    申请号:US17868378

    申请日:2022-07-19

    CPC classification number: G06F21/566 G06N7/005

    Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to detect triggering of one or more threat detectors. The at least one processor is further configured to activate a subset of nodes from a plurality of nodes in a Bayesian network in response to the detection, the activated subset of nodes associated with the triggered threat detectors. The at least one processor is further configured to calculate a probability of malicious action using the Bayesian network to combine probabilities associated with the activated subset of nodes. The at least one processor is further configured to determine that the probability exceeds a threshold value. The at least one processor is further configured to perform a security action in response to the determination.

    SYSTEMS AND METHODS OF PREDICTING MICROAPP ENGAGEMENT

    公开(公告)号:US20220358402A1

    公开(公告)日:2022-11-10

    申请号:US17340565

    申请日:2021-06-07

    Abstract: A computer system including a memory, a network interface, and a processor is provided. The processor is configured to receive, via the network interface, one or more design attributes of a microapp from a microapp development tool hosted by an endpoint device, the one or more design attributes comprising an identifier of a system of record configured to supply data to the microapp; execute a machine learning process trained, using data regarding microapp usage within an organization, to predict at least one user engagement metric for the microapp based on the one or more design attributes; and transmit, via the network interface, the at least one user engagement metric to the microapp development tool hosted by the endpoint device.

    SYSTEM AND METHOD FOR FULLY AUTONOMOUS USER BEHAVIOR BASED SECURITY TESTING

    公开(公告)号:US20220345479A1

    公开(公告)日:2022-10-27

    申请号:US17315644

    申请日:2021-05-10

    Abstract: A system and method for identifying vulnerabilities in a security information and event management (SIEM) system. A method includes: initializing a security testing agent with a goal and a reinforcement learning model, wherein the model defines states indicative of progress towards the goal, a set of actions that can be taken by a legitimate user within a target environment, and reward values associated with taking a specified action in a specified state; and learning a policy to achieve the goal within the target environment, wherein learning: selects and takes a target action from the set of actions for a current state; monitors for an alert triggered in response to the target action being taken; receives a reward value associated with the target action and current state; calculates updated reward value in the model; and in response to the process not being terminated, repeats the process for a next state.

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