Artificial Intelligence Cyber Security System

Artificial intelligence, more commonly known under AI acronym, has become a very hot topic these days. Forrester Research forecasts a 300 percent growth of AI investment this year. Toyota invests $100 million in fund for AI; UBS is trying to bring AI to its investment bank’s operations, while VCs frivolously dream of replacing all of us with AI to cut costs. 

Obviously, many cyber security vendors leverage the term in an attempt to increase sales and impress their customers. In this article, we will explore how to survive in cyber security AI jungles.

Jim Hare, Research VP at Gartner, says nearly every technology provider is now claiming to be an AI company, adding that ultra-hype of the AI label has led to a hysteria of ‘rebranding’ from companies desperate to keep up. Similar to the go-go days of the late 1990s, when every enterprise was an ‘e-business’ company, many vendors are entering the AI market by simply adding ‘AI’ to their sales and marketing materials. The best explanation was that our mathematical algorithms are so complicated that even our engineers do not understand them.

Artificial neural networks remain one of the most frequently used technologies for machine learning, including deep learning. Nonetheless, others technologies can also be used for classification and cauterization of data in the process of cognitive decision-making.

One of the frequent scenarios of machine learning usage is intelligent automation. Different from classic automation, intelligent automation eliminates expensive and unsalable human intelligence without sacrificing the quality or reliability of the process. Vendor should at least be capable of naming some clear and measurable benefits compared to non-AI solutions; otherwise all AI claims are just merit-less marketing hype.

Cybercriminals invent new attack vectors and fraud techniques every day. Like any other technology, machine learning is not something you can install once and forget about. You need to assure continuous training with new datasets, quite frequently under the thorough supervision of expensive human experts. Make sure that the human costs required to keep a vendor’s technology up to date will not exceed the benefits that it can deliver.

However, as described by Ilia, those technologies are new buzz words used by the industry to sell their technologies. CISO should really ask themselves the business case for those. At the end, AI/ML is only technologies and should be entered in a broader perspective on cyber-defense which is as always linked to people, process and technology.

First mentions of artificial intelligence go back to the early 1950s, however so far, we are still very far from the AI. Nonetheless, machine learning technologies can, and almost certainly will, revolutionize intelligent automation and solve the human intelligence shortage challenge.

The five above – mentioned questions can help you distinguish between the marketing hype and emerging technologies capable of optimizing your processes and cutting the costs.

 

About the Author

Rabin

I am a self taught white hat hacker and a B.sc in Hardware & Networking graduate from India. I am running a Blog for my community where I technical things in “English” which makes this experience even more interesting.

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