In an era where cyber criminals have become smarter, more resourceful and way more sophisticated in planning and executing their attacks, cyber wars, so to speak, cannot be fought without matching and outwitting the criminals in a preemptive manner. Thanks to growing awareness, users are cognizant of the fallouts of security breaches in financial, political and social standings.

The increasing dependence, and consequently interdependence of systems and devices that rely on digital connectivity, thereby leading to automation in both business and personal lives, has mandated virtually fool proof cyber security regimes as security breaches threaten to cause mass scale and unacceptable disruptions. While this raises the stakes for cyber security experts, it has also spurred the emergence of innovative technologies that promise to uplift the current levels of security of information systems while keeping the more ambitious of attackers at bay.


The weakest link in any security system, it can be argued, is the human link. For instance, usernames and passwords employed by most users are inherently weak and susceptible to attacks. This serves as the easiest and simplest way for any intruder to gain access, cause disruption or simply to siphon information on a regular or periodic basis.

Since awareness campaigns and system dictated suggestions to tie up this lose end can only do so much, experts have come up with a novel authentication method to shore up security – the user hardware authentication. The idea behind this technology is to have multifaceted authentication built into the hardware, thereby making it more robust and denting the confidence of attackers. Processor giant intel has come up with a new design, keeping the Internet of Things (IoT) and businesses in mind by developing a Core vPro processor. This chip utilizes multifactor authentication by using up to four methods (and possibly more) in tandem to verify and authenticate users. For instance, the system, in addition to a user’s ID and password may also require another pin code that will only by generated once the user is in the office premises. The possibilities are many, and the eventual security delivered seems promising.


As today’s hackers find creative ways to launch individual and coordinated attacks, the security regimes employed at most information systems often seem to be caught off guard. The stakes are particularly high when such attacks cause massive outages and businesses have to sustain heavy losses and loss of reputation. In such scenarios, it is imperative that deep learning modules are put to effective use, and the attacking trends and specific modus operandi of attackers are effectively mapped out before the threat becomes real or damaging.

Machine learning and AI can effectively predict which route and mechanism the attackers plan to undertake and can also lead to the creation of early warning systems to help experts streamline their processes. Deep learning also comes in handy when constant human surveillance is either impossible or not financially viable.


Cloud technology is now an essential component of business enterprises and a myriad of government and private organizations alike. With huge chunks of data generated and stored on cloud servers, data integrity and security is at the heart of any such infrastructure. In order to achieve this, virtualized intrusion detection systems along with virtual firewalls would be hosted from the cloud.

Infrastructure as a service (IaaS) aims to provide virtual computing resources over the internet, and businesses have beefed up their data security by the utilization of IaaS services provided by companies such as Amazon and Firehost.

All in all, cyber security experts have devised robust tools and mechanisms to ward off the looming threat posed by attackers in the cyber domains. Aforementioned trends are just a few but major developments in the cyber security arena. It is, however, imperative to keep abreast with the latest technologies as the threats and security systems continue to evolve in tandem.


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