06/17/2026
We can't respond the way we did just a few months ago.
For years, organizations have worked to remove friction from business.
Faster approvals.
Faster communication.
More automation.
More trust in the workflow.
And for the most part, that's worked.
The challenge is that many of those workflows were built around a simple assumption:
If something looks legitimate, it probably is.
That assumption is becoming harder to rely on.
One cybersecurity trend we expect to accelerate over the next 12 months is AI-powered identity attacks.
Not because organizations are doing anything wrong.
Because AI is making it easier than ever to imitate the people, communications, and interactions we've grown accustomed to trusting.
We're already seeing examples of this in the real world. In 2024, an employee at global engineering firm Arup was convinced to transfer approximately $25 million after participating in what appeared to be a legitimate video call with company executives—who were actually AI-generated deepfakes.
Read about something like this here:
https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/
The issue isn't technology.
It's that the signals we've relied on to establish trust are changing.
Organizations that navigate this shift successfully won't slow everything down.
They'll rethink where trust should be earned instead of assumed.
Are conversations around trust and verification changing in your organization?
Could you spot an AI deepfake of your boss? Arup chief Rob Greig reflects on his company’s brush with cybercrime – and what other organizations can learn.