Hands-On Artificial Intelligence for Cybersecurity: Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

Python has a high profile with cyber security professionals and data scientists being the language of choice for many. The term “artificial intelligence” (AI) can often be a marketing device but this does not apply in the eBook ‘Hands-On Artificial Intelligence for Cybersecurity’. Author, Dr Alessandro Parisi, illuminates the term ‘AI’ shedding light upon its employment of perceptrons, the single and especially the multi layer which shows the highest degree of accuracy in predictions, and its analogy with the human brain. The text demonstrates that predictive analytics will result in many security tasks (zero-days detection, uncommon network threats detection, etc.) becoming automated, enabling the analyst to engage in the most noteworthy and challenging threats inspection, detection and resolution, leaving the triage phase to the machine. Another user-friendly design feature is the organisation of the text which provides the python expert and the non-python literate professional, such as myself, the ability to flick back & forth and gain immediate value from the important insights shared. The overall strategy is compelling and its guidance value, for data scientists and cyber security professionals, indispensable – a powerful tool in an AI arsenal.

Nothing "hands on" about this book - unless you call instructions for installing Anaconda and Jupyter Notebook "hands-on AI for cybersecurity". Other than that, it's a very wordy primer on what Machine Learning is, and how pieces of it might be used by someone. No code, no examples in the book. Needs an editor to rework it, and change the title to something like "Overview of Machine Learning Concepts". No AI, no 'hands-on". If you want a quick but overly-wordy primer on ML concepts, buy it. Otherwise, pass.