Vol XVIII: Ch. 3: Project Management’s Considerations to Address Enterprise-wide Cyberthreats
From the Book: The Refractive Thinker® Vol XVIII: Project Management: Strategies to Enhance Workflow and Productivity


Summary

Enterprises leverage prospective opportunities by new technologies through automating cognitive tasks, algorithms, big-data, and artificial intelligence (AI) to benefit administrative features, by implementing disruptive-technologies, cybersecurity, and AI to pretrain and classify networks’ traffic to protect vulnerabilities against adversaries and many forms of frauds, social engineering threats, and incidents. Organizations’ leaders use expert systems’ to emulate AI’s automated preventive technologies, helping and improving cooperation on data for security surveillance, monitoring risks of threats to classify cybersecurity vulnerabilities. Perspectives and risk intelligence could help organizations innovate cost-effective procedures in detecting automated threats, and implementation of security for private and protected assets. Statistics and prediction of future events, neuroscience, deep-learning tactics, and AI could benefit project managements’ preemptive efforts to execute, craft projects’ rigors, and remedy supply-chain’s vulnerabilities in reducing or preventing attacks. The approaches for management of projects with business and information technology systems development scope, might require various strategies in incorporating business intelligence dashboards to address enterprise-wide cyberthreats. Comparing different strategies can give managers an opportunity to evaluate and create the best planning strategies to fit businesses and ensure success. The ability to embed and extend content to drive, might improve adoption of planning tools and benefit organizations from strategies by improving efficiency within the company, the understanding of the importance of education and experience, and single platforms to combine real-time events, to raise the level of productivity and security. Some of the business intelligence strategies include dashboards such as IBM statistical practices for social science (SPSS) and Dynatrace, offering application performance management (APM), artificial intelligence for operations (AIOps), cloud infrastructure monitoring, and digital experience management (DEM), encompassing business plans, technology concepts, and education.