There is tremendous opportunity to use AI—particularly machine learning—to improve the efficacy of cybersecurity, the detection of hackers, and even prevent attacks before they occur.
Office 365 Advanced Threat Protection (ATP) uses a comprehensive and multi-layered solution to protect mailboxes, files, online storage, and applications against a wide range of threats.
Adopting reliable attack methods and techniques borrowed from more evolved threat types, ransomware attained new levels of reach and damage in 2017.
Proactively testing software for bugs is not new. The earliest examples date back to the 1950s with the term “fuzzing.” Fuzzing as we now refer to it is the injection of random inputs and commands into applications. It made its debut quite literally on a dark and stormy night in 1988.
I recently wrote about how radical the incorporation of artificial intelligence (AI) to cybersecurity will be. Technological revolutions are however frequently not as rapid as we think.
Are the rules and regulations being put in place today, from the Chinese cybersecurity law to the EU’s General Data Protection Regulation (GDPR), going to be appropriate for the world 10 years from now? And if not, should this be of concern? To answer these questions, we need to learn from the past.
