There is a considerable number of articles covering machine learning for cybersecurity and the ability to protect us from cyberattacks. Still, itâs important to emphasize 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 the lightning in the bottle for cybersecurity compared to image recognition or natural language processing â 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. Whatâs worse, now hackers are able to use machine learning to carry out all their nefarious endeavors. Nowadays you donât even need a hacker to hack things. Wild.
Not even Artificial Intelligence is immune to cyberattacks. Check out this incredibly in-depth paper published on Harvard Kennedy Schoolâs website.
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 directions of ML research applied to cybersecurity.
Letâs understand some basic terminology.
The lingo
Stop calling everything AI. Itâs not.