There shouldn’t be any doubt that we’re living in a dangerous world. Terrorist attacks, hacking scandals, cybercrimes and global conflicts increase in number and frequency. Their impact is becoming more far-reaching with each passing day. The security industry has to constantly find new and more sophisticated ways to extinguish these dangerous fires. The resources are there – according to Cybersecurity Market Report, the spending on the cybersecurity alone will eclipse $1 trillion for the period from 2017-2021. Let’s see what are the results.
The origin of the concept of deep learning (self-teaching machines) can be traced back to the father of modern computing Alan Turing. Today, search giants like Google and Chinese Baidu, already implement this concept to optimize the listings and paid ads in their search result pages. Similarly, the security industry is putting a very strong effort into teaching machines to recognize the bad software at line speed. What’s stalling this development is that different vendors are approaching this problem without any unified direction.
Username and password-type of authentication proved to be inadequate a long time ago. Hardware authentication (authentication that takes into consideration users’ hardware) could be the only sensible solution for the time being. Although manufacturers like Intel are already working on making this idea come to life, hardware authentication can finally get the opportunity to shine in the light of Internet-of-Things. The networks will get the means to ensure that the entities that are trying to gain access to them are the entities that should have access.
In the world of Cloud computing, some form of data protection is a must, and current encryption technologies have played the role of a guardian more than effectively. However, what makes data more secure, doesn’t make it more usable. In order to be searched, encrypted documents first need to be decrypted, which causes significant slowdowns. The solution to this problem can be found in homomorphic encryption that allows data to be mined and categorized while still in an encrypted state.
Most cyberattacks start with targeting users via malicious websites, URLs, and emails. One of the increasingly popular ways to address this problem is by remotely presenting the internet content from a Linux-based, browser-served premises, or delivered as a Cloud service. What this, surprisingly intuitive approach effectively does is isolating the browsing functions from the endpoints and corporate networks, and shifting the attack from the users’ systems to server stations.
Modern businesses are in a very difficult position. They can fall victims to any kind of threat ranging from street-level crime to international cyber warfare. That is why modern business security is integrated into unified systems that cover everything ranging from data encryption and latest cutting-edge concepts like biometrics, to other reliable tools like for example, a security screen, and security cameras. These diverse technologies will all eventually all come under the same roof and be developed by the same forces.
The modern businesses are not the only entities exposed to the varying types and levels of crime. The modern homes are too. However, because of the limited resources by the owners, the modern home security is not as extensive as the one we see in the business playing field and is developed by the vendors oriented towards the mass market. For example, Google Home, and Apple HomeKit are able to interact with high-tech devices like door sensors, home monitoring systems, etc. This way, security technology reaches much broader market.
We are living in very troubled time when one’s security can be compromised in a number of different ways. In order to put an end to these threats, the security industry needs to be versatile and nimble. This dangerous game of cat and mouse will last for a long time, but the progress is being made.