Third of enterprises worried about ability to identify deepfake attacks
A third of IT leaders in large enterprises are concerned about employees’ ability to detect deepfake attacks over the next 12 months according to a survey from Storm Technology, a Littlefish company. This contrasts with 28% of leaders in SMBs.
The research – conducted by Censuswide – involved 200 IT decision-makers and leaders across Ireland and the UK (100 in each market) – found that the biggest concerns around AI and security over the next year were data breaches (34%), data protection (33%), and increased risk of adversarial or cyber attacks (31%). Meanwhile, a quarter (25%) consider Shadow AI (use of unsanctioned or unpermitted tools) among their biggest concerns.
This is not necessarily surprising given that half of respondents (50%) know that people in their organisation are using such tools, and some 55% admitted to using unsanctioned or unpermitted tools themselves. Forty-two per cent of IT leaders also opined that company data is not safe for input into these platforms. Just 60% of companies have been specific about which AI tools are sanctioned or permitted.
More broadly, over a fifth (21%) of IT leaders did not have a high degree of trust in AI tools and almost a third (32%) of companies did not have a strategy in place to address any AI risks that arise.
The research showed that 79% of IT leaders in Ireland and the UK agreed their organisation needed to focus more on the regulation of AI tools and 28% did not believe their governance around AI tools was adequate. This rose to more than a third (35%) among Irish respondents.
When it came to AI and data, 24% of IT leaders did not think their business data was ready for AI, with a similar proportion (23%) of the opinion that that their data governance policies were not robust enough to support secure AI adoption.
Sean Tickle, cyber services director, Littlefish (pictured), said: “AI is rapidly reshaping the enterprise landscape, but the speed of adoption is outpacing the maturity of governance. When nearly a third of organisations lack a strategy to manage AI risk, and over half of IT leaders admit to using unsanctioned tools, it’s clear that Shadow AI isn’t just a user issue – it’s a leadership one.
“Deepfake threats, data governance gaps, and a lack of trust in AI platforms are converging into a perfect storm. To stay secure and competitive, businesses must invest in visibility, policy clarity, and data readiness – because without those, AI becomes a liability, not a differentiator.”
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