|With data science, companies can now be able to identify and find threats more efficiently. / Photo by: SARINYA PINNGAM via 123rf|
Cybersecurity is becoming increasingly more important as the amount of data that is being stored and used is expanding by a large amount. While this means that they will have more data to work with, it also means that they are more susceptible to hackers and cyber threats that could cause millions of dollars' worth of damages to both the companies and the consumers. One of the most interesting ways that it is being improved is with data science, with which companies have been able to find and target threats much more efficiently than ever before.
Chief Scientist at network analytics firm Corvil, Fergal Toomey, stated that data science is important because it cuts down on a lot of manual tasks that were previously only done by humans. Now, they are able to use this kind of data to spot common patterns more accurately, as well as identify anomalies that could be the source that kind of attack. This also has the added bonus of cutting down on the time required to do these tasks, like being able to automatically flag new threats based on their similarity to other similar exploits in the respective system. This could very well change the landscape of the cybersecurity industry based on the time-cost efficiency alone. The use of data science also extends to the larger amount of data that can be stored and analyzed. This information could prove to be useful as it can allow both the algorithm and the person behind it to check and see similarities of these data attacks and find better solutions to them.
Data science can become larger and much more complex as time goes on, but this also means that the means of detecting future threats will also improve. Sam Curry, the current security officer at the endpoint detection and response specialist Cybereason, stated, “The hope is that we completely reverse the advantage in cyber conflict, which currently favours the attacker.”