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Perhaps the most significant security advancement made at the enterprise level over the last two decades has not been technology, but rather its perception.
All too often, business leaders, city planners, fire departments, and law enforcement focus on their mandates to the exclusion of others. Unfortunately, this approach can lead to a breakdown in communication and missed opportunities. In the worst cases, it can create a lapse in security that could make their city and its citizens vulnerable to criminal activity and terrorist attacks. But, by eliminating these silos and fostering strong communication, stakeholders can share information that allows them to quickly address evolving situations.
The risks of an attack are not new, but as incidents become more sophisticated and persistent, organizations need to move from cybersecurity to cyber resilience.
When we do a risk assessment, we evaluate the facility’s needs and identify any gaps in their physical security barriers and policies and procedures. Why should you integrate security early in the design process?
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?
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.