45% of respondents have been targeted by ads for retail fraud guides or services on social media.

34% of organizations are testing with plans to deploy AI at the edge within the next 24 months.

Multimodal AI is widely deployed in the cloud (59%).

There was a 92% decrease in malicious and fake ChatGPT and other generative AI sites between April 2024 and April 2025.

In retail, CIOs reported lower interest in edge-deployed LLMs (32%).

52% of respondents say their team is overworked.

Around half of consumers on both sides of the Atlantic have been targeted by social media advertising promoting retail fraud guides and services and thinly disguised ‘refund hacks’.

58% of respondents have been exposed to refund hacks disguised as influencer content.

30% of organizations have fully deployed AI at the edge.

Only 17% of teams share threat intel across roles in real time.

Large Language Models (LLMs) are widely deployed in the cloud (59%).

69% say disconnected and dispersed tools creates moderate to significant challenges.

59% of respondents say tool maintenance is the main source of inefficiency.

90% of organizations are increasing edge AI budgets for 2025.

High operational and maintenance costs of Edge AI are a challenge for 40%.

60% report moderate budget increases of up to 25% in Edge AI.

Nearly a third face significant resource limitations in fighting FWA.

The majority (82%) of respondents said they had heard about retail fraud from friends, family, colleagues, and classmates.

Human error, while still significant, has dropped to third place of most concerning threat actors.

55% of respondents report having to address too many false positives.