Create a defence plan for your Cybersecurity

Recently, Cybersecurity is starting to become disheartening game, like for example whack-a-mole. All of this is because we are seeing more and more new threats which are appearing in new as well as unexpected places just after the last one is beaten back. Sometimes it could feel like the security vendors are unable to keep up.

However, giving up is not the answer. Many cybersecurity researchers and developers are currently working together on solutions to help protect businesses from the constant bombardment of cyber threats.

There is one area of this work that bears watching by MSPs and managed security providers which is predictive analytics. This will help to define the future of cybersecurity, it will potentially give companies more than a fighting chance against cybercriminals.

Zero Day

Unknown Vulnerabilities

You may find that the reason cybercrime is harder to prevent is because the creators of the malware have worked out multiple of ways to manipulate the so-called Zero Dayvulnerabilities which have been currently unknown in the systems that businesses and their customers use every day.

Typically, endpoint security engines have relied on the signatures of the malware which is known to detect any new viruses, Trojans, worms and other versions of malware. Although the programmers of malware have started to send out new threats without any recognisable signatures. The programmers have especially accomplished at developing malicious code that confounds the existing security solutions.


To help make matters worse, malware authors have created an underground economy of malfeasance by selling exploit kits via the Dark Web so that any would-be cybercriminal that has moderate technical skills so that they can launch an attack against any selected target.

Malware as a service is a real thing

To help combat these threats, the security vendors have developed an advanced behaviour analysis solutions and threat intelligence feeds, although with the volume of new threats is extensive that some of the attacks are unavoidable.

Forecast Models

Traditionally, cybersecurity has relied on a defensive model whereas predictive cybersecurity will change that. So, by collecting the data about cyber-attacks and threats, the predictive cybersecurity analytics will produce forecasting models about the sources, who the potential victims are and the methods of future attacks.

The analytics tools are currently linked to the sophisticated threat intelligence and monitoring system so that the tools can capture relevant data from the endpoints, malware-detection engines and also various other types of sources this includes Internet and social media posts.

These particular sophisticated tools will look for the code characteristics, behaviour, irregularity and patterns which hint at the presence of malicious code that may not exist in the signatures yet. The tools will also allow cybersecurity professionals who will track the Internet chatter in groups or as individuals who are suspected of cybercrimes.

By applying these methods, the cybersecurity professionals will be able to identify new malware modification, cyber-attack aims, manipulation of previously unknown vulnerabilities and also the website the malware is stored as well as sent from.

Cybersecurity professionals who are newly armed with these tools and intelligence will be able to stop the new threats and test businesses defences regularly to help prevent future attacks.

Added Value

Using predictive cybersecurity will be expensive. However, as the tools for rapid analytics are introduced and the methods are refined, it will start to become more affordable. It will not be too long before the MSPs will have the opportunity to offer this particular technology as another added value to customers.

Any sound cybersecurity plan should have included a predictive analytics component. As it is important to understand security forecasts alone cannot prevent any cyber-attacks. Defensive tools such as firewalls, endpoint security and intrusion detection will still be needed to effectively protect customers from cyber-crime. Overall the predictive component, will likely make them more able to fend off attacks.