1 in 3 (33%) of respondents plan to fill skills gaps with AI and automation.

Compared to publicly available tools, 63% agree that domain-specific AI significantly or extremely enhances security operations.

63% of respondents reported having serious concerns about providing biometric information.

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.

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’.

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%).

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

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

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.