Parallels IP Holdings Gmbh

Acronis International Gmbh

Parallels Holdings, Ltd.

Swsoft Holdings, Ltd.

Acronis Inc.

Parallels Software International, Inc.

Virtuozzo International Gmbh

Ingram Micro Inc.

Swsoft Holding, Ltd.

Other

Plesk International Gmbh

Acronis Interna Banal Gmbh

Alexander G Tormasov

Serguei M Beloussov

Stanislav S Protassov

Nikolay Dobrovolskiy

Andrey A Omelyanchuk

Alexey Koryakin

Stanislav Protasov

Maxim V Lyadvinsky

Maxim V Tsypliaev

Maxim Kuzkin

Alexander Grechishkin

Kirill Korotaev

Mark Shmulevich

Pavel Emelyanov

Oleg Melnikov

Dennis Lunev

Alexey G Kobets

Yuri Pudgorodsky

Yuri Per

Anton Bobykin

Ilya Baimetov

Sergei Malykhin

Anton Enakiev

Mikhail A Ershov

Vladimir Grebenschikov

Dmitry Monakhov

Pavel Emelianov

Yury Averkiev

Noam Herold

Anna L Vorobyova

Yury Pudgorodsky

Michael Joseph Toutonghi

Alexey Kobets

Alexey Kostyushko

Elena A Koryakina

Alexey Kuznetzov

Maxim V Goldobin

Igor E Korshunov

Sergei Beloussov

Alexander Kodorkin

Oleg Shaikhatarov

Sergey Krendelev

Andrey Kugayevsky

Sergey Oleinikov

Yuriy Tsybrovskyy

Sergey Lystzev

Nikolay N Dobrovolsiy

Dmitry A Nesterenko

Victor Kupriyanov

Michael Chadwick

Denis Lunev

Eugene Aseev

Victor Lysenko

Juri V Tsibrovski

Vitaly Obernikhin

Anatoly Stupak

Alexay N Kuznetzov

Sergei V Tovpeko

Stanistav Protasov

Nikolai N Dobrovolskiy

Michael Schelkogonov

Andrey Bulanov

Oleg K Shaikharatov

Vitali A Obernikhin

Mikhail Khassine

Disclosed herein are systems and method efficiently executing a program operation on a cloud-based service. In an exemplary aspect, a method comprises receiving a request to perform a program operation on a cloud-based service and at least one user constraint for performing the program operation, and determining a plurality of sub-operations that are comprised in the program operation. The method comprises identifying a plurality of service component combinations offered by the service provider that can execute the program operation, and identifying at least one processing constraint of each service component. The method comprises determining a service component combination from the plurality of service component combinations for executing the program operation based on the at least one user constraint and processing constraints. The method comprises executing the program operation by the determined service component combination.

Systems and methods for optimized execution of program operations on cloud-based services based on processing constraints

Systems and methods for optimized execution of program operations on cloud-based services

Disclosed herein are systems and method for customizing a user workspace environment using artificial intelligence-based analysis. In one exemplary aspect, a method comprises detecting user actions in a user workspace environment that provides access to a plurality of workspace elements. The method comprises generating a plurality of rules for customizing the user workspace environment, wherein each rule links a set of input parameters of a machine learning algorithm as criteria with an output user action and an output identifier of the workspace element, and wherein each rule assigns at least one customization action that (1) reduces an amount of steps to perform in the user workspace environment to access the workspace element associated with the output identifier and (2) reduces a processing time to perform the output user action. When a criterion is fulfilled, the method comprises executing a corresponding customization action that alters the user workspace environment.

Systems and methods for customizing a user workspace environment using A.I-based analysis

Disclosed herein are systems and method for synthetic file scanning. In one exemplary aspect, a method may comprise, for each respective file in a plurality of files on a storage device, determining a respective likelihood of the respective file being targeted by the malicious activity, and including, in a subset of files, each respective file in the plurality of files with a respective likelihood that is greater than a threshold likelihood. The method may comprise for each respective file in the subset of files, identifying at least one fragment of the respective file that is susceptible to the malicious activity. The method may comprise extracting and storing at least one fragment from each respective file in a synthetic file, and scanning the synthetic file periodically instead of the plurality of files.

Systems and methods for synthetic file scanning

Disclosed herein are systems and method for verifying user identity. In one exemplary aspect, a method comprises receiving sensor data from at least one sensor and parsing the sensor data to determine a plurality of identifiers of a user authorized to access data via a computing device. The method comprises generating, for each identifier, an event including the user. The method comprises intercepting, on the computing device, a data access request including an identifier of the user. The method comprises verifying whether the data access request is from the user authorized to access data by generating a chain of events including the user for a period of time preceding the data access request, determining a deviation of the chain of events from a target chain of events, and in response to determining the deviation is less than a threshold deviation value, granting the data access request.

Systems and methods for verifying user identity based on a chain of events

Disclosed herein are systems and method efficiently executing a program operation on a cloud-based service. In an exemplary aspect, a method comprises receiving a request to perform a program operation on a cloud-based service and at least one user constraint for performing the program operation, and determining a plurality of sub-operations that are comprised in the program operation. The method comprises identifying a plurality of service component combinations offered by the service provider that can execute the program operation, and identifying, based on a status of each service component, at least one processing constraint of each service component. The method comprises determining, by a machine learning algorithm, a service component combination from the plurality of service component combinations for executing the program operation based on the at least one user constraint and processing constraints. The method comprises executing the program operation by the determined service component combination.

Disclosed herein are systems and methods for verifying user activity based on behavioral models. In an exemplary aspect, a method may include receiving and parsing sensor data from at least one sensor in an environment to determine a first identifier of a person that is not authorized to access data via a computing device. The method may include intercepting, on the computing device, a data access request including a second identifier of a user that is authorized to access the data via the computing device. The method may include verifying whether the data access request is from the user authorized to access data by determining whether a chain of events involving the first person and the user corresponds to a behavioral model indicative of malicious activity. Based on the verification, the data access request is either granted or denied.

Systems and methods for verifying user activity using behavioral models

Disclosed herein are systems and method for authenticating user identity based on supplemental environment data. When a structured approach to acquiring user identifiers (e.g., facial images, voice clips, biometric data, etc.) of authorized user is inconclusive (e.g., a matching face is similar, but not a direct match) the systems and methods describe retrieving supplemental environment data that indirectly verifies a presence of the user in an environment. The systems and methods further comprise determining whether the supplemental environment data indicates that a respective identifier belongs to the user, and in response to determining that the supplemental environment data indicates that the respective identifier belongs to the user, authenticating the respective identifier as belonging to the user and storing the respective identifier in a database of identifiers.

Systems and methods for authenticating user identity using supplemental environment data

Disclosed herein are systems and method for isolating private information in streamed data. In an exemplary aspect, a method may comprise receiving a stream of data, for storage in a first storage device, and an indication of how the stream will be utilized by an end user. The method may comprise comparing the indication against a plurality of rules, wherein each rule indicates a type of private information that should be isolated from a given input stream based on a respective indication of usage for the given input stream. The method may comprise identifying and extracting a first type of private information that should be isolated from the stream, modifying the stream by removing the first type of private information from the stream, storing the modified stream in the first storage device, and storing the extracted first type of private information in a different location from the modified stream.

Systems and methods for isolating private information in streamed data

An anomaly detection system uses an AI engine to analyze configurations and backups to identify and assess anomalies. Backup data and configurations are used to characterize events as either secure or insecure.

System and method for anomaly detection in a computer network

A system and method are disclosed for performing non-invasive scan of a target device. The system is configured for: i) loading an endpoint protection agent to a target device; ii) providing a remote direct memory access of the target device to the remote security server for reading a memory of the target device; iii) scanning, by a second memory scan engine of the remote security server, the memory of the target device upon the violation of the security policy; iv) identifying, by the second memory scan engine of the remote security server, a threat on the target device; and v) sending, by the remote security server, a security response action to the endpoint protection agent on the target device in accordance with the security policy.

Non-invasive virus scanning using remote access

Disclosed herein are systems and method for determining a backup schedule on a computer system. In one exemplary aspect, a method may comprise collecting user behavior data on the computer system. The method may comprise analyzing the user behavior data to determine an optimal time of a backup session to create backup copies of modified data stored on a volume of the computer system and determining an optimal duration of the backup session based on the analyzed user behavior. The method may comprise determining a portion of the modified data that can be saved during the backup session within the optimal duration at the optimal time of backup, and performing the backup session comprising the portion.

System and method of determining an optimized schedule for a backup session

A data storage system uses erasure coding in combination with hashgraph to organize stored data and recover that data in a computing environment.

Integration of hashgraph and erasure coding for data integrity

Disclosed herein are systems and method for protecting files indirectly related to user activity. In one exemplary aspect, a method may comprise identifying, on a computing device, a file that is directly accessed by a user of the computing device. The method may comprise determining an application that provides access to the file. The method may comprise identifying a plurality of program files that the application utilizes during execution. For each respective program file of the plurality of program files, the method may comprise determining whether the respective program file is required by the application to provide access to the file and in response to determining that the respective program file is required, determining a type of threat that can target the respective program file. The method may further comprise performing a data protection action on the respective program file based on the type of threat.

Systems and methods for protecting files indirectly related to user activity

A system and method is provided for providing distributed computing platform on untrusted hardware. An exemplary method includes launching a hypervisor on an untrusted computing node and receiving a request generated to provide a computing function using hardware of the untrusted computing node. Upon receiving the request, an enclave in memory of the untrusted computing node is created and a virtual machine is launched in the memory enclave. Moreover, a guest operating system of the virtual machine verifies the security of the untrusted computing node. Finally, the guest operating system performs the computing function using the hardware of the untrusted computing node upon the guest operating system verifying the security of the untrusted computing node and the hypervisor.

System and method for providing distributed compute platform on untrusted hardware based on encryption

Growing community of inventors

Moscow, Russia

Alexander G Tormasov