- Reliability by utilizing multiple levels of redundancy that eliminates any single point of failure and ensures service uptime.
- Scalable architecture to easily accommodate an increase in demand without impacting delivery of service or data.
- Flexibility from an open platform that can adapt to changes in the market or technology without having to be completely rebuilt.
Every day, we hear more and more about Big Data, the Internet of Things (IoT) and Connected Cars. That’s because our lives are being further integrated with technology.Cars are no longer just machines that get us from point A to point B. They connect to our smartphones, give us directions and provide entertainment. Businesses track and monitor vehicles to streamline and optimize their operations.We use IoT devices and apps that measure and track our fitness. We buy refrigerators that can notify us if we’re out of milk, and we install home thermostats that adapt to our comings and goings. And with the IoT still evolving, that’s just the tip of the iceberg.Because of this increase in connectivity, we’re collectively racking up mountains of data – 2.5 quintillion bytes of data every day according to IBM. This Big Data comes from a number of sources. Every swipe of a debit or credit card. Every search term we enter or website we visit. Every post, video or photo we upload to social media.You get the picture.Of course, along with news about all of this incredible technology, are stories about security issues. Emails and businesses being hacked to reveal sensitive customer information. Let’s not forget credit card and identity theft. It’s no wonder that identity theft monitoring is a multi billion dollar industry.As a business, your eagerness to adopt cutting-edge technology and tap into Big Data may be tempered by the security risks associated with implementation. Nobody wants to see their business name and the word “hacked” in a news headline.Which brings us back to mantraps.It may seem like a silly word, but mantraps are just one of many security protocols that should be used to secure your Big Data. And when you work with an M2M provider, robust security is just one of many capabilities that they should possess before partnering with them.Ideally, data security and privacy should be managed by experienced experts, dedicated to monitoring your data 24/7 and not splitting their duties with other IT tasks. You’ll also want to make sure your provider’s experts regularly update procedures to counter the most recent attack strategies and trends.To keep data safe, your provider should use a multi-tiered approach. There should be multiple data centers that adhere to stringent security controls and protocols. Relatively few people should have access to the data center, and there should be physical security features such as mantraps and palm-readers, onsite cameras, and robust protection against break-ins.Other capabilities to look for in your provider are: