Over the past several years, we have seen massive growth in the industry of artificial intelligence. Its use in nearly every field has connected everyone and everything more than ever before. As the Internet of Things (IoT) becomes a larger part of the world we live in, so too does the need to increase security measures surrounding each and every one of our connected devices and networks.
The Gartner Report estimates that there will be nearly 21 billion connected devices by 2020. Each of those devices represents a unique entry point into the larger network of linked devices, leaving the sensitive and confidential data they contain vulnerable to attacks.
Once a network of connected IoT devices has been intruded, hackers can access each device on that network and all of the data within it. Hackers have only to find the most defenseless entry point to be able to profit off the information they then find and poach. These instances of cyber fraud account for 55 percent of all cybercrimes, and the FBI reported that fraud-related victim losses exceeded $1.4 billion in 2017.
Many companies have made the switch to cloud-based security in order to keep their data safe as well as to contain their data on all connected devices. Cloud systems operate from all-inclusive data hubs and offer unified security for all devices on a given network. This kind of security eliminates the need for an in-house data hub and personnel to oversee it day in and day out. The cloud’s security capabilities are constantly learning and evolving to collect information about any situation and react appropriately, allowing for rapid threat recognition and repair.
A majority of security threats are directed toward systems that have a break in their code, creating a hole that needs a “patch” or a new thread of code to bridge the gap. These patches then need to be implemented throughout the entire system. It can take upwards of a year for companies that rely on personnel to physically add the patch for each device on a network.
On a cloud-based platform, data is managed and monitored using AI and its offshoot, machine learning, which instantly identifies any security risks and alerts the proper professionals to repair them and implement patches across the entire connected network right away.
If everyone were to use cloud-based systems, there would be no lag in resolving security threats, virtually eliminating that year-long waiting period. Industry leader, Mark Hurd noted that “if everybody had Autonomous Database, [the delay in patching] would change to instantaneous.” Cloud providers are dedicated to rapid responding to to any problems and weaknesses across the entire network and safeguarding everyone’s information at all times.
As the security market adjusts to the increasing number and complexity of cyberattacks, it’s turning more and more to cloud-based security solutions. These systems help to prevent these attacks in a more holistic way, protecting data more thoroughly from start to finish through the use of AI and machine learning.