Data security is becoming a lot more important for people working remotely, so the right measures must be implemented at all costs.
It’s no secret that data becomes more valuable as it increases in connections. With almost every industry sector having moved at least some portion of its workforce to a virtual office space, the amount and value of the data being created daily has increased exponentially. Metcalfe’s law tells us that the inherent worth of any communication networks is directly proportional to the number of people sharing data across it. This is why it is important to know how to keep data secure.
When you start to add all additional nodes that can share data with one another, you start to get even more value out of the system. As a result, these networks start to morph into a juicy target for bad actors. When you start to think about just how many people are powering up new devices to work online, the importance of secured server infrastructures becomes even more visible. The problem is that many people lack access to comprehensive digital security solutions.
That’s left some remote workers looking for simple ways to mitigate cyberthreats.
Building a Comprehensive Yet Simple Security Service that Relies on Big Data
A majority of security platforms have essentially been compromised thus far. They’re either extremely comprehensive and therefore difficult to dive into or they’re too simplistic to be of any use. That’s made it hard for remote workers to lock down their data, especially if they generate a great deal of sensitive information on a regular basis. Those working from home in the financial services sector are often in the toughest position since they might be up against really strict regulatory rules but have no real way to follow up on them.
Some entrepreneurs are now looking at this void as an opportunity to provide new types of services to those who need them most. Aura CEO Hari Ravichandran wrote that, “In 2014, my own credit information was stolen online. Doing my research after the fact, I discovered that there was no comprehensive, easy-to-use, affordable solution to digital security. That’s what inspired me to create Aura.” The organization is now focused on providing a simple yet extremely strong protective layer that users can check on through a single dashboard.
It uses big data and artificial intelligence to predict the probability of a threat at any given time, which is especially important in situations where newly minted remote workers are no longer able to receive assistance from their company’s IT department staffers. Other organizations are now looking into AI-based solutions that would provide remote workers with the same type of security layers that are currently used to protect server infrastructures.
Harnessing AI to Protect Remote Workers
Malware protection tools have long employed AI-based algorithms in their pursuit of scanning subroutines that detect threats heuristically. Operational security tools have been slower to adopt these principles and integrating big data into their models. In fact, these technologies were applied in financial analysis before they were widely adopted in the OPSEC world. That’s unfortunate, because AI-based tools could stop security threats at the source.
Predictive intelligence modules could predict the possibility of any breach occurring, and it can then block said breach from ever taking too deep a dive into a server. This would protect remote workers without requiring them to take any protective steps at all. Nevertheless, that’s not to say that they should feel as though they were suddenly secure and didn’t need to take any steps of their own.
In fact, these developments might very well bring the biggest benefits to those who regularly install and deploy their own security solutions.
How Remote Workers can Manage their Own Software with Data Analytics
Few security products have the kind of flexibility that these server-based solutions do, which is why startups like Aura have entered the domain. Until these become popular, however, remote workers are managing their own solutions on a somewhat automatic basis. They have discovered a number of benefits of using data analytics to streamline many of these processes. Avoiding antivirus software scams has been a challenge for many of these individuals, who are faced with more market information than ever before.
Developers of cybersecurity solutions normally pick relatively reasonable defaults, so remote workers without much experience in this domain might wish to simply leave automatic updates on. This will at least ensure that they’re protected against the latest threats that their current vendors are aware of. Administration settings have proven to be a challenge outside of corporate environments, but these may be corrected in due time by using new data technology.
Fortunately, it looks as though the crop of new data-driven security tools being released are likely to assuage most of the concerns raised by those who are now in the process of transitioning into a remote office.
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