Название: Privacy and Data Protection in Software Services
Автор: Roberto Senigaglia, Claudia Irti
Издательство: Springer
Год: 2022
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Discusses developing privacy-compliant software products from the very beginning.

The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.

Regarding recent trends in the cybersecurity software market, it is important to underline the increasing use of Artificial Intelligence (AI) and Machine Learning (ML) to detect cyber attacks in real-time. Manual and semi-automated threat detection techniques are not able to keep up with today’s constantly evolving cyberattack landscape. In such scenarios, AI and ML technologies are being used to bring the incident response time down to a few seconds via real-time threat intelligence and data security. AI and ML capabilities are directly deployed at network endpoints, such as mobile phones, laptops, desktops, tablets, and servers, to detect and combat threats in real-time.