首页> 外国专利> PERVASIVE, DOMAIN AND SITUATIONAL-AWARE, ADAPTIVE, AUTOMATED, AND COORDINATED BIG DATA ANALYSIS, CONTEXTUAL LEARNING AND PREDICTIVE CONTROL OF BUSINESS AND OPERATIONAL RISKS AND SECURITY

PERVASIVE, DOMAIN AND SITUATIONAL-AWARE, ADAPTIVE, AUTOMATED, AND COORDINATED BIG DATA ANALYSIS, CONTEXTUAL LEARNING AND PREDICTIVE CONTROL OF BUSINESS AND OPERATIONAL RISKS AND SECURITY

机译:广泛,领域和情境感知,自适应,自动和协调的大数据分析,业务,运营风险和安全性的上下文学习和预测控制

摘要

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.
机译:运营(OT),信息(IT)和安全(ST)系统的实时安全性,完整性和可靠性态势,以及用于控制企业安全和业务风险的安全性和运营蓝图,策略,流程和规则的变化缓慢管理过程,动态发展并适应领域,上下文和情况意识,以及在受控的运营和信息系统中实施的控制。本发明的实施例被系统化并广泛地应用在互连,相互依存且多样化的操作,信息和安全系统上,以减轻系统范围内的业务风险,提高业务流程的效率和有效性并增强传统外围,网络,或基于主机的控制和保护方案无法成功执行。

著录项

  • 公开/公告号US2019156257A1

    专利类型

  • 公开/公告日2019-05-23

    原文格式PDF

  • 申请/专利权人 ALBEADO INC.;

    申请/专利号US201916240603

  • 发明设计人 PARTHA DATTA RAY;

    申请日2019-01-04

  • 分类号G06Q10/06;H04L29/06;

  • 国家 US

  • 入库时间 2022-08-21 12:08:33

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