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Greg Kipper's 2017 Trends

We are pleased to welcome back Greg Kipper, who is a cyber-futurist, as a guest writer this month. We asked him to look at the biggest trends in 2017 and where they would take us in the world of cyber. Here is what he came up with.

As we continue to move into 2017 here are three cyber security trends and predictions for the coming year.

Advanced Persistent Security

“Advanced Persistent Security” or APS will emerge as a new standard. APS is the process of creating a security environment that is as dynamic and effective as the most sophisticated Advanced Persistent Threat (APT)-type attack. APS will allow for commercial organizations to differentiate themselves with strong resiliency and quick recovery. In recent years, we’ve seen a rapid growth in what is called the “targeted attack market,” which is the combination of criminals selling their services to the highest bidder and targeted attack tools becoming commoditized. As APT becomes more refined and more sophisticated an APS response will be required.

IoT Security

IoT Security will be a factor for organizations. The continued adoption of the Internet of Things, or IoT, will continue to drive security requirements and advances for IoT. The first IoT DDOS attack took place last October, creating disruptions across several major websites for several hours, and won’t be the last. Currently “smart buildings” are the fastest growing segment of IoT. This transition to adding intelligent systems to commercial buildings and industrial complexes will allow for improved maintenance, fine- tuned light and temperature control, precise location-based services, and improved incident management for security and building systems. As buildings get “smarter,” a Building Operating System (BOS) is likely to emerge requiring the need for new security processes and procedures.

Machine Learning

Machine Learning will become a valuable tool for cyber security and will drive a predictive cybersecurity posture. With the massive amounts of data being generated and moved over networks, cybersecurity experts will continue to have a difficult time monitoring everything. Machine learning and predictive analytics tools will not become a silver bullet for cyber security, but they do have the potential to augment human efforts by automating the process of recognizing patterns to a level that would be impossible for a human being. This type of autonomous computing will be a huge value to people and organizations as it will return to them that most precious commodity: time.

No matter where the future takes us we know that in the realm of cyber we have new areas that we can explore that will always keep us on our toes.