Honeywell International Inc.

Atul Bassi

Tarun Gupta

Israel Rozenblit

Anusha C

Anubhav Misra

Eli Abramson

Sagi Barzilay

Rohit Jain

Avishay Mezeg

Embodiments of the present disclosure provide for improved methodologies for managing initiation of an automated healing process for operational technology devices in a network. Some embodiments include identifying at least one operational technology (OT) device connected to a network that is vulnerable to at least one cybersecurity risk, where the at least one OT device is wirelessly connected to the network, identifying at least one computer-executable resolution to the at least one cybersecurity risk, executing a simulation that tests performance of the network with resolution of the at least one cybersecurity risk utilizing the at least one computer-executable resolution, generating a solution implementation report based at least in part on the simulation, and determining whether to automatically initiate the at least one computer-executable resolution based at least in part on the solution implementation report.

Apparatuses, computer-implemented methods, and computer program products for managing initiation of an automated healing process for operational technology devices in a network

Embodiments of the present disclosure provide for remote access of a device, for example an operational technology device or an information technology device, in a manner with improved cybersecurity. Some embodiments receive remote action data from a client device in response to an initiated remote access action of the remote action data from the client device to a remotely accessible device, quarantine the remote action data from the client device, generate malicious determination data indicating whether the remote action data is determined as malicious by processing the remote action data, and determine whether to block transfer of the remote action data to the remotely accessible device based at least in part on the malicious determination data.

Apparatuses, computer-implemented methods, and computer program products for improved remote access cybersecurity based on quarantining remote action data and generating malicious determination data

Embodiments of the disclosure provide improvements for managing access of nodes, including wireless nodes, to a network including operational technology device(s) (e.g., a wireless OT network). Some embodiments include detecting a node from at least one message communication over a wireless OT network, authenticating node identification information that uniquely identifies the node, confirming that the node is permissioned to access the wireless OT network by at least validating authentication information associated with the node, confirming that the node is attempting an authorized action by at least validating authorization information associated with the at least one message communication, and assigning an access indicator based at least in part on the authenticating of the node identification information, the validating of the authentication information, and the validating of the authorization information.

Apparatuses, computer-implemented methods, and computer program products for managing access of wireless nodes to a network

Various embodiments described herein relate to an asset discovery engine with a deep vulnerabilities scanner with respect to assets in an industrial network. In an embodiment, a request to perform an asset vulnerability assessment of one or more assets within a network is received, the request comprising an asset descriptor describing the one or more assets. In response to the request, aggregated asset property data associated with the one or more assets is obtained based on the asset descriptor. Furthermore, the asset vulnerability assessment is performed based on the aggregated asset property data and asset vulnerability signature data stored in an asset vulnerability signature repository. In response to determining that the asset vulnerability assessment satisfies a defined criterion, one or more actions associated with the network are performed.

Asset discovery engine with deep vulnerabilities scanner

A method of cybersecurity performance analyzing for customer site(s) including assets in a networked system including different asset types, and a virtual security engine (VSE) server. The customer site is coupled to a Security Center (SC) including a SC server, and a cybersecurity hardening compliance engine (CHCE). The VSE server collects identification data and security configuration data from the asset types, and transfers the data to a SC database. Responsive to a user request to generate a cybersecurity hardening compliance report, the CHCE sends a query to the SC database to retrieve at least a portion of the data, uploads a cybersecurity benchmark including cybersecurity configuration rules (CCRs) for least a selected asset type, compares the data of the assets to the CCRs, and generates from results of the comparing a cybersecurity report including a quantitative measure of cybersecurity performance for the assets of the selected asset type.

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Bengaluru, India

Atul Bassi