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

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

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

52% of respondents say their team is overworked.

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.

37% of respondents said they had heard about retaile fraud from friends.

Total number of software vulnerabilities grew by 61% year-over-year (YoY) in 2024.

Fraudsters were about four times more likely to use stolen identities instead of synthetic identities.

Linux vulnerabilities soared by 967% in 2024.

macOS vulnerabilities increased by 95% in 2024.