Spoiler alert, the answer is both. Human-versus-computer chess matches, particularly Kasparov versus Deep Blue, contributed to mainstreaming the whole man-versus-machine discourse. Those games, in which some of the best humans to have ever played chess lost to computers, helped entrench a narrative of contest/conquest that continues to shape how we view our relationship with computers. Isaac Asimov's three laws of robotics laid the groundwork for this man-versus-machine narrative. Even still, it framed the relationship in a slave-master context where one only existed to be subjugated by the other.

Reliance on artificial intelligence (AI) to combat cybersecurity threats looks set to increase by several orders of magnitude over the next few years. A recent report from P&S Market Research suggests that the global AI cybersecurity market will reach US$18.1 billion by 2023. As the overall size of the attack surface continues to expand, it's simply not feasible for cybersecurity teams to defend against every threat without some additional help. AI's playing an important role in helping automate threat detection and response, which in turn, eases the burden on these teams. If we take a look at social engineering attacks such as spear phishing and business email compromise (BEC), they're extremely hard to detect.