The considerable number of articles cover machine learning for cybersecurity and the ability to protect us from cyberattacks. Still, it’s important to scrutinize how actually Artificial Intelligence (AI),Machine Learning (ML),and Deep Learning (DL) can help in cybersecurity right now, and what this hype is all about.
First of all, I have to disappoint you. Unfortunately, machine learning will never be a silver bullet for cybersecurity compared to image recognition or natural language processing, two areas where machine learning is thriving. There will always be a man trying to find weaknesses in systems or ML algorithms and to bypass security mechanisms. What’s worse, now hackers are able to use machine learning to carry out all their nefarious endeavors.
Fortunately, machine learning can aid in solving the most common tasks including regression, prediction, and classification. In the era of extremely large amount of data and cybersecurity talent shortage, ML seems to be an only solution.
This article is an introduction written to give practical technical understanding of the current advances and future directions of ML research applied to cybersecurity.
Read the full article on Towards Data Science.