Each new wave in technology brings its own security and privacy risks.
This was the case with personal devices, the cloud, software as a service and now, AI. And new agentic technologies will, no doubt, bring their own security challenges.
But what have we learned from previous technology revolutions, and how do we apply those lessons today?
As our guest this week argues, changes in how we use technology have sped up over the last six months, according to our guest this week.
And the pace of change could increase further, as we move to autonomous systems, with potentially little control or oversight.
The problem will only increase, as AI tools proliferate, and as workforces turn to copilots and chatbots, outside the corporate network, to help with their day-to-day tasks.
According to Simon Gooch, field CIO at Saviynt, we need to re-learn the lessons from remote and flexible working, and shadow IT, if we are to tackle the security and privacy challenges posed by AI.
Previously a director of security at Accenture, Simon has more than 25 years direct experience of cybersecurity and governance.
He argues that are now dealing with a technology, in the shape of agentic AI, that makes connections enterprise software designers and security architects never anticipated. We need to move away from protecting hardware, applications or even stacks to protecting data and processes.
And we still need to achieve predictability, and control. So just how big is the challenge we face in securing systems, but also allowing organisations to make the most of their AI investments?
Featured image by Colossus Cloud from Pixabay
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