AI actors are poised to eclipse the number of human users on the internet. Many industry observers have decried such growth, pointing to the immense risks that such a brave new world poses. How can security systems even keep up with the rate of expansion in AI technologies? How can enterprises hope to compete with the vast amounts of money, time, and resources that AI companies use to train their models? Such questions presage a significant evolution in the way the tech industry envisions, develops, and deploys security systems.
Fortunately, there’s a way forward, but it requires the cybersecurity market to shift toward a pattern that follows what AI vendors have done: make the science of biological systems the template for cybersecurity. Breakthroughs in social science, political science, evolutionary biology, and neuroscience demonstrate that our focus should be on establishing trustful relationships rather than a direct reliance on structural interventions such as identity management, attack surface management, and zero trust practices. The pathways that enable biological entities to come to trust and successfully collaborate with each other are known to science. In this presentation, Global Head of Research Mike Neuenschwander will delve into what changes are coming to the security market in order to achieve such levels of trust online. The presentation will provide a market roadmap for vendors, enterprises, governments, and standards organizations alike to create a security model that is highly collaborative and ultimately highly trustworthy.
