Cybersecurity will become even more of a strategic priority for companies as the cost, sophistication, and lethality of breaches continue to rise. The advent of emerging and fused technologies 5G, IoT (and Industrial IoT) will pose significant operational and regulatory challenges. Companies and agencies will look to automation and orchestration technologies such as machine learning, deep learning, artificial intelligence, and other analytic tools to mitigate gaps on ubiquitous platforms. Threat actors, especially state-sponsored, and criminal enterprises will take advantage of the expanding cyber-attack surface by sing their resources to employ more sophisticated means for discovering target vulnerabilities, automating their phishing attacks, and finding new deceptive paths for infiltrating malware. For CISOs, enterprise tools such as predictive analytics, machine learning and artificial intelligence will be more readily adapted to expand the effectiveness of mitigation and analysis of threats.

Technological advances have changed the way people work, consume information, and live. Innovations in technology gave impetus to the development of Artificial Intelligence (AI). In recent years, AI has generated controversy. Proponents cite AI's track record of improving operational efficiency, enhancing target identification efforts, and increasing productivity through automation and big data analytics. Conversely, AI opponents blame automation for fueling unemployment and rising inequality; some have even suggested AI is a threat to humanity.