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Cyber Security



Five upcoming products offering under the iCyberDefence umbrella to provide simple solutions to your security challenges

  • Rule engine is powered by Bayesian statistical models and Latent Dirichlet Allocation (LDA) algorithm

  • Empowered by GCHQ’s renowned Gaffer and Stroom , and DRDC’s Automated Computer Network Defence (ARMOUR) projects.

  • Intuitive user friendly UX

  • Responsive design

  • Subscription-based Software as a Service (SaaS) model

  • Support for on-premise, SaaS/PaaS and IaaS cloud IT and OT infrastructure

  • Cross-industry solution to support a wide range of businesses i.e. FinTech, Pharma, Railway, Telecom, Airlines and Manufacturing

A safety-informed cyber risk modelling tool for systems engineering processes that will consist of System of Systems (SoS), Operational Technology(OT), Internet of Things (IoT) and Cyber-Physical Systems (CPS). The product will align IEC62443, IEC61508, and IEC15388 frameworks. This innovative product will improve the safety-informed cybersecurity assurance cases currently used in the transport sector.  

An intuitive GRC tool that provides simplified cyber risk management relevant to Board's corporate principal business risks. Tool's risk management framework will provide traceability to any corporate internal assurance frameworks and external standards (e.g. NIST, ISO27001, CMMI, SOX, SOC 2). This innovative product will improve existing cybersecurity assurance approaches currently used in airlines, manufacturing and pharma sectors.

An automated security platform that connects to the cloud and on-premise infrastructure, and provides a measurable cybersecurity score. It will give a point-in-time security posture of the environment. The product will quantitatively measure cyber exposure vs security controls point-in-time. Such innovation will improve how cyber insurance underwriters assess manufacturing facilities' cyber risk, and how pre-M&A advisors assess cyber threats.  

An automated security platform that helps deliver standardised security architecture based on industry vertical, business operating model, cyber threat management strategy and risk management approach. This innovative product will provide a single pane view of enterprise architecture and how security defence is applied. This platform will offer an automated defensive architecture as the business operating model evolves. 

A cutting-edge platform with a robust rules engine will use proven mathematical models to improve the threat detection rate by 25-45%. The Rules engine will use Bayesian statistical models and the Latent Dirichlet Allocation (LDA) algorithm to provide fully automated security analytics and a threat detection system. Combined with ML and AI capabilities, the rule engine will provide timely decisions to detect cyber-attacks more efficiently. 


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