• Patent Title: Pervasive, domain and situational-aware, adaptive, automated, and coordinated big data analysis, contextual learning and predictive control of business and operational risks and security
  • Application No.: US16240603
    Application Date: 2019-01-04
  • Publication No.: US10692032B2
    Publication Date: 2020-06-23
  • Inventor: Partha Datta Ray
  • Applicant: Albeado, Inc.
  • Applicant Address: US CA Saratoga
  • Assignee: Albeado, Inc.
  • Current Assignee: Albeado, Inc.
  • Current Assignee Address: US CA Saratoga
  • Agency: Perkins Coie LLP
  • Main IPC: G06Q10/06
  • IPC: G06Q10/06 H04L29/06 H04L29/08
Pervasive, domain and situational-aware, adaptive, automated, and coordinated big data analysis, contextual learning and predictive control of business and operational risks and security
Abstract:
Real time security, integrity, and reliability postures of operational (OT), information (IT), and security (ST) systems, as well as slower changing security and operational blueprint, policies, processes, and rules governing the enterprise security and business risk management process, dynamically evolve and adapt to domain, context, and situational awareness, as well as the controls implemented across the operational and information systems that are controlled. Embodiments of the invention are systematized and pervasively applied across interconnected, interdependent, and diverse operational, information, and security systems to mitigate system-wide business risk, to improve efficiency and effectiveness of business processes and to enhance security control which conventional perimeter, network, or host based control and protection schemes cannot successfully perform.
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