When asked who should be most responsible for stopping AI-powered fraud, 43% consumers pointed to Big Tech.

41.8% of breaches impacting top fintech companies originated from third-party vendors.

46% say that a key challenge in securing and managing hybrid cloud infrastructure is lack of clean, high-quality data to support secure AI workload deployment (46%).

78% of respondents cited faster incident detection as a moderate to transformative benefit of a unified approach for threat detection and response.

Of those prioritizing AI security, nearly half are turning to new or emerging startups.

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’.

45% said they didn’t know if their organization was part of an ISAC or ISAO.

78% of respondents say sharing data with observability teams resolves incidents faster.

97% of CIOs have Edge AI either already deployed or on their roadmap.

Among men (~54%), the number of people who would ban biometrics was significant.

DNSFilter blocked over 60 million generative AI requests in March.

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

Of those prioritizing AI security, over two-thirds have acquired tools from their cloud providers.

Malware remains the top attack type, holding this position since 2021.

Slightly over a quarter of those surveyed are using Generative AI (GenAI) for addressing FWA.

Risk management is planned for 73% of future edge AI implementations.

57% of respondents report losing valuable investigation time to data management gaps.

6% of respondents knew someone working in fulfilment services involved in insider fraud

The use of network analysis for fraud detection is expected to expand from 32% to 87%.

Nearly half (46%) of respondents spend more time maintaining tools than defending the organization.