When hearing «Artificial Intelligence» we think of complex systems taking form as robots or evil human-machines. While some of those ideas may come to fruition at some point, what will happen between the battle of the good & bad, reality & technology?
But first of all,
What is Artificial Intelligence?
Essentially, AI is whatever technology we develop and use that would be just as intelligent as if a human was doing it. However, the definition itself is understood in many different ways. AI systems will typically demonstrate at least some of the following behaviors associated with human intelligence: Planning, learning, reasoning, problem solving, knowledge representation, perception, motion, manipulation, social intelligence and creativity.
Usually when imagining AI we think of ominous robots with the intention to destroy the world. You’ve probably seen the Sci-Fi movie The Terminator which is a great example. However, AI doesn’t necessarily have to be considered «intelligent», «conscious» or «lifelike» in order to be what we think of it. Artificial Intelligence is a growing resource of interactive, autonomous, and self-learning agency which makes it suitable to many tasks that will help us in the future. However, we shouldn’t think too highly of AI just yet as it is only in early development. There are a couple of emerging application from AI that aren’t too complex, but still helps us during life such as flagging inappropriate content online, detecting wear and tear in elevators or simple things like responding to simple customer-service queries.
The possibilities of managing Cyber Security?
If we had an Artifical Intelligence-based cyber security agency that helped us keep hackers off the internet, most of the online malicious content would be solved. It is a new golden ring for cyber security developers to wear when it comes to potentials of automated functions and the ability to make decisions based off of machine learning.
At a very simple level of speaking, AI and machine learning enables a system to understand the normal behaviors of an individual, a happening or a website for instance. The system takes some time to understand and observe the environment to create its own «base and ground» of how the reality is- which is exactly what we do when we grow up by understand society’s norms «do’s and don’ts’». It’s almost like having a cyber security specialist sitting and monitoring 24/7 while having the ability to learn and remember everything that happens- maybe even better than a human being.
Imagine this, John Smith lives in London and he logs onto x9security.com frequently per week from his living room. Suddenly the AI sees John Smith logging into the same website, but at an odd hour and from all the way in Sweden. This would be abnormal and would cause a warning sign for the AI to start acting, which could potentially be instantly logging the user out and temporarily changing the password to prevent anything from happening.
What to expect
Machine learning and AI can help guard against cyber attacks. By the help of a diverse set of algorithms with different data sets and features can help mitigate and monitor these threats. The whole point is to create a software that tries to create a decision mechanism similar to human brain’s decision mechanism. However, the human brain is way too complicated to be modeled with a software- as you may have heard of Artificial Neural Networks and Deep Learning.
There are types of artificial intelligence applications that can and most likely will be used for cyber security solutions. These are not necessarily based off of a human brain, but rather specific mechanisms that would imitate the same type of thinking, such as:
- Spam Filter Applications
- Network Intrusion Detection and Prevention
- Fraud detection
- Credit scoring and next-best offers
- Botnet Detection
- Secure User Authentication
- Cyber security Ratings
- Hacking Incident Forecasting
- Malware Analysis
As smart and intelligent as AI can be, there will never be a 100% guaranteed success rate. Researchers have found that it varies between 85% and 99% in most cases. But in the last few years, some products have been improved to detect Cyber attacks with the help of AI like DarkTrace. AI can reduce the workload for cyber security analysts by helping to prioritize the risk areas for attention and automating the manual tasks they typically perform- things like searching through log files for signs of compromises). AI increases speed, resilience, opportunities, and chances of success. And because AI algorithms are self-learning, they get smarter with each attempt and failure since their endeavors are continuously better informed and more capable.
Picture 1 source: https://pngimage.net/artificial-intelligence-png-4/
Picture 2 source: https://www.kdnuggets.com/2018/02/birth-ai-first-hype-cycle.html
Picture 3 source: https://www.kdnuggets.com/2018/02/birth-ai-first-hype-cycle.html