Patents Assigned to Sonalysts, Inc.
  • Patent number: 11934521
    Abstract: A system and method for a threat monitoring device for determining, within an industrial control system over a data communication network, cross-correlated behaviors of an information technology domain, an operational technology domain, and a physical access domain and associated threats. The method includes receiving sensor data from the information technology domain, sensor data from the operational technology domain, and sensor data from the physical access domain, fusing the sensor data of each of the domains to obtain fused sensor data, determining feature sets from the fused sensor data using behavior profiles, constructing behaviors as sets of the features over time periods, classifying the behaviors to determine a degree of anomaly, classifying anomalous behaviors to determine a threat probability, generating an alert based on the degree of anomaly and the threat probability, displaying particular sensor data and particular time periods associated with the alert.
    Type: Grant
    Filed: April 21, 2021
    Date of Patent: March 19, 2024
    Assignee: SONALYSTS, INC.
    Inventors: Scott Brunza, Timothy Ouellette, William Russ, Stephen Dorton
  • Publication number: 20220342988
    Abstract: A system and method for a threat monitoring device for determining, within an industrial control system over a data communication network, cross-correlated behaviors of an information technology domain, an operational technology domain, and a physical access domain and associated threats. The method includes receiving sensor data from the information technology domain, sensor data from the operational technology domain, and sensor data from the physical access domain, fusing the sensor data of each of the domains to obtain fused sensor data, determining feature sets from the fused sensor data using behavior profiles, constructing behaviors as sets of the features over time periods, classifying the behaviors to determine a degree of anomaly, classifying anomalous behaviors to determine a threat probability, generating an alert based on the degree of anomaly and the threat probability, displaying particular sensor data and particular time periods associated with the alert.
    Type: Application
    Filed: April 21, 2021
    Publication date: October 27, 2022
    Applicant: SONALYSTS, INC.
    Inventors: Scott BRUNZA, Timothy OUELLETTE, William RUSS, Stephen DORTON
  • Patent number: 8468599
    Abstract: A method of determining, within a deployed environment over a data communication network, network threats and their associated behaviors. The method includes the steps of acquiring sensor data that identifies a specific contact, normalizing the acquired sensor data to generate transformed sensor data, deriving, for the specific contact from the transformed sensor data, a contact behavior feature vector for each of a plurality of time periods, determining, for the specific contact, scores associated with each of a plurality of classification modules to form a contact score vector, the contact score vector being independent of an identity of the specific contact, identifying a type of the specific contact based on the contact score vector, and determining a threat type, based on the contact behavioral profile and the contact score vector, when the specific contact is determined to be a threat in the identifying step.
    Type: Grant
    Filed: September 20, 2010
    Date of Patent: June 18, 2013
    Assignee: Sonalysts, Inc.
    Inventors: Owen McCusker, Scott Brunza
  • Publication number: 20120072983
    Abstract: A method of determining, within a deployed environment over a data communication network, network threats and their associated behaviors. The method includes the steps of acquiring sensor data that identifies a specific contact, normalizing the acquired sensor data to generate transformed sensor data, deriving, for the specific contact from the transformed sensor data, a contact behavior feature vector for each of a plurality of time periods, determining, for the specific contact, scores associated with each of a plurality of classification modules to form a contact score vector, the contact score vector being independent of an identity of the specific contact, identifying a type of the specific contact based on the contact score vector, and determining a threat type, based on the contact behavioral profile and the contact score vector, when the specific contact is determined to be a threat in the identifying step.
    Type: Application
    Filed: September 20, 2010
    Publication date: March 22, 2012
    Applicant: Sonalysts, Inc.
    Inventors: Owen McCUSKER, Scott BRUNZA
  • Patent number: 4922468
    Abstract: A method for controlling the population of marine and aquatic species in an area of water includes the development of data concerning the response of various species to stimuli in different environmental conditions, and the generation of stimuli in the control area to affect the species in that area and thus control the population. The stimuli are generally sonic waves, but other stimuli such as light, radio waves, and magnetism may also be employed in place thereof or in addition thereto. The system uses a feedback monitor and computer with data concerning species response to adapt the stimuli to changing species and conditions.
    Type: Grant
    Filed: June 2, 1989
    Date of Patent: May 1, 1990
    Assignee: Sonalysts, Inc.
    Inventor: John K. Menezes