Many weeks have passed since organizations around the globe closed their physical doors and transitioned to full-scale remote work. This ‘new normal,’ as many are calling it now, has brought upon countless changes for IT teams.
Extending the perimeter by instituting a corporate security intelligence program enables companies and organizations to stay well ahead of threats and often helps inform strategic and operational decision-making.
Why does the practice of Data Economy typically requires a solid understanding of the characteristics of the underlying data resource? And how can that data be transformed into useful intelligence, where these processes are carried out with the upmost care to represent the interests of the Data Subject?
Employees and industry analysts alike are making the case for remote SecOps. However, the long-term feasibility of this option is up for debate. Organizations actually stand to gain greater success using a combination of traditional SecOps and the appropriate use of automation.
I often catch articles in my newsfeed that are supposedly about identity governance but upon reading the fine print, they invariably wind up being about access management.
Cybercriminals hope to go unnoticed. They often work in the dark depths of the Internet, but now, they are showing their true colors in the COVID-19 pandemic.
According to the Federal Trade Commission’s Report, from January 1st through April 15th, Americans have reported losing $13.44 million dollars to fraud and they’ve received 18,235 reports related to COVID-19. To avoid coronavirus scams, it’s crucial to understand and identify the red flags and behaviors of “fear scammers.”
Why is cybersecurity so often overlooked by Operational Technology engineers? The answer can be traced to four common myths. Here, we explore why these four misconceptions are no longer true in today’s highly interconnected world and discuss the differences between IT and OT networks, and share some best practice guidelines to help your organization successfully overcome these IT-OT differences and transition to IIoT or Industry 4.0 systems.
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