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.
Ready or not, cloud is already making its impact on the industry. While it’s not a new technology to the industry, it continues to see growth, driven by growing possibilities in the IoT space. Security end users and their organizations are shifting to truly embrace the cloud, with worldwide spending on public cloud services and infrastructure forecasted to reach $210 billion in 2019 – an increase of 24 percent over 2018. Cloud services can provide benefits not only to large enterprise organizations, but small and mid-sized businesses as well by providing cost-effective solutions and increased flexibility.
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?
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?
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