The new report from KnowBe4 serves a purpose of defining shadow AI as unapproved AI, not AI use that goes under the radar, because the number of UK cybersecurity decision-makers identifying shadow AI as the biggest risk is nearly matched (58%), implying they're well aware of the challenges. However, little seems to be being done, because only 16% believe their organization is effective at managing AI's safe use at the moment. Nearly half (46%) have implemented targets to improve AI agent safety over the next 12 months, but with one in five (19%) already reporting that AI agents take autonomous action across multiple workflows with limited human oversight, the risks remain clear. TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. Changes like this often look small on screen while shifting product habits and day-to-day operating workflows much faster than expected.
What is happening now
The new report from KnowBe4 serves a purpose of defining shadow AI as unapproved AI, not AI use that goes under the radar, because the number of UK cybersecurity decision-makers identifying shadow AI as the biggest risk is nearly matched (58%), implying they're well aware of the challenges. TechRadar form the main source layer behind the core facts in this piece.
Where the sources line up
TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. However, little seems to be being done, because only 16% believe their organization is effective at managing AI's safe use at the moment. TechRadar form the main source layer behind the core facts in this piece. In software, the upgrades worth caring about are the ones that make workflows cleaner, reduce mistakes, and remove the need for extra tools. The people who feel the value first are often operators, editors, creators, and teams stitching multiple apps into one daily workflow.
The details worth keeping
Nearly half (46%) have implemented targets to improve AI agent safety over the next 12 months, but with one in five (19%) already reporting that AI agents take autonomous action across multiple workflows with limited human oversight, the risks remain clear. Changes like this often look small on screen while shifting product habits and day-to-day operating workflows much faster than expected.
Why this matters most
The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. "UK businesses are embracing AI to drive productivity [but] many employees are still under pressure, using unapproved tools and regularly facing (and fearing) sophisticated threats such as deepfakes and phishing," Lead CISO Javvad Malik wrote.
What to watch next
The next thing to watch is rollout speed, regional limits, and whether the update really changes day-to-day habits. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechRadar update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.