Artificially intelligent systems are quite on the run these days. The new generation believes a lot in the security system which evolves with the hackers’ trickery.
Microsoft, Google, Amazon, and numerous other organizations keep the faith in artificially intelligent security systems.
Technology based on rules and designed to avert only certain and particular kinds of attacks has gotten pretty old school.
There is a raging need for a system which comprehends previous behavior of hacking or any sort of cyber attacks and acts accordingly.
According to researchers, the dynamic nature of machines, especially AI makes it super flexible and all the more efficient in terms of handling security issues.
The automatic and constant retaining process certainly gives AI an edge over all the other forms.
But, de facto, hackers are quite adaptable too. They also usually work on the mechanical tendencies of the AI.
The basic way they go around is corrupting the algorithms and invading the company’s data which is usually the cloud space.
Amazon’s Chief Information Security Officer mentioned that via the aforementioned technology seriously aids in identifying threats at an early stage, hence reducing the severity and instantly restoring systems.
He also cited that despite the absolute aversion of intrusions being impossible, the company’s working hard towards making hacking a difficult job.
Initially, the older systems used to block entry in case they found anything suspicious happening or in case of someone logging in from an unprecedented location.
But, due to the very bluntness of the security system, real and actual users get to bear the inconvenience.
Approximately, 3% of the times, Microsoft had gotten false positives in case of fake logins, which in a great deal because the company has over billions of logins.
Microsoft, hence, mostly calculates and analyzes the technology through the data of other companies using it too.
The results borne are astonishing. The false positive rate has gotten down to 0.001%.
Ram Shankar Siva Kumar, who’s Microsoft’s “Data Cowboy”, is the guy behind training all these algorithms. He handles a 18-engineer team and works the development of the speed of the system.
The systems work efficiently with systems of other companies who use Microsoft’s cloud provisions and services.
The major reason behind, why there is an increasing need to employ AI is that the number of logins is increasing by the day and it’s practically impossible for humans to write algorithms for such vast data.
There is a lot of work involved in keeping the customers and users safe at all times. Google is up and about checking for breachers, even post log in.
Google keeps an eye on several different aspects of a user’s behavior throughout the session because an illegitimate user would act suspiciously for sure, some time or the other.
Microsoft and Amazon in addition to using the aforementioned services are also providing them to the customers.
Amazon has GuardDuty and Macie which it employs to look for sensitive data of the customer especially on Netflix etc. These services also sometimes monitor the employees’ working.
Machine learning security could not always be counted on, especially when there isn’t enough data to train them. Besides, there is always a worry-some feeling about their being exploited.
Mimicking users’ activity to degrade algorithms is something that could easily fool such a technique. Next in line could be tampering with the data for ulterior purposes.
With such technologies in use it gets imperative for organizations to keep their algorithms and formulae a never-ending mystery.
The silver lining though, is that such threats have more of an existence on paper than in reality. But with increasingly active technological innovation, this scenario could change at any time.
