15% of assets hosted by AWS were vulnerable to at least one security issue or misconfiguration.

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.

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.