From reactive network security capabilities we moved to developing predictive capabilities and now we are now able to achieve prescriptive security capability, intervening autonomously or flagging up issues to assist human decisions.
Humans and machine learning will have to come together to test autonomous vehicles, and the idea of crash test dummy with an AI brain may soon become a very necessary reality.
According to research announced during the recent Black Hat conference in Vegas, some 62 per cent of infosec pros reckon weaponised AI will be in use by threat actors within 12 months.
Sándor Bálint explores the need for cohesion between humans and machines in the cyber-security sector.
Laurent Bride explores factors constraining future development of AI while outlining the potential practical opportunities where AI might be used to enhance our lives - a precurssor to exploring infosec concerns and usage.
Bogdan Botezatu discusses what organisations can do to give themselves the best possible chance of evading and protecting against APTs, and how the next wave of cyber-security solutions are using machine learning algorithms to help beat the malware and stay one step ahead of the hackers.
Intelligent and automated systems are currently being touted as the next step in cyber-security to help combat the 'always-on' cyber-criminal, but are they right for us? And are we prepared for them?