Patents Assigned to NEO PRIME, LLC
  • Probabilistic model for cyber risk forecasting
    Patent number: 10757127
    Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.
    Type: Grant
    Filed: June 9, 2017
    Date of Patent: August 25, 2020
    Assignee: Neo Prime, LLC
    Inventors: Craig A Schultz, John J. Nitao, Jeffrey M. Starr, John Compton
  • Probabilistic model for cyber risk forecasting
    Patent number: 9680855
    Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.
    Type: Grant
    Filed: June 30, 2014
    Date of Patent: June 13, 2017
    Assignee: NEO PRIME, LLC
    Inventors: Craig A. Schultz, John J. Nitao, Jeffrey M. Starr, John Compton