Nearly 70% of organizations identify AI’s fast-moving ecosystem, particularly in generative AI, as the top GenAI-related security risk.

64% of organizations view lack of integrity as a major concern regarding AI adoption.

Of those prioritizing AI security, three in five (60%) are leveraging established security vendors.

Over half (56%) of respondents have prioritized the application of AI to security workflows this year.

22% of organizations are actively in production with limited deployment of AI at the edge.

DNSFilter blocked over 60 million generative AI requests in March.

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

In retail, CIOs reported higher adoption of multimodal AI (68%).

Survey respondents estimated that approximately 16% of budgets could be saved by tackling fraud, waste, and abuse (FWA) in general.

Current AI adoption rates for addressing FWA are relatively low, with about half of those surveyed using AI.

33% of SOCs are using GenAI for Threat intelligence analysis.

Improving security and data privacy is the No. 1 reason (53%) for Edge AI investment.

Only 11% of organizations fully trust AI for mission-critical tasks.

Most organizations (54%) report that edge AI complements their cloud AI strategy for a hybrid approach

Only 1 in 10 agencies have all the tools and resources they need to fight FWA.

57% of organizations view lack of trustworthiness as a major concern regarding AI adoption.

Respondents cited gaps in analytical skills (48%), technology (40%), and budgets (24%) among the limiting factors in fighting FWA.

Only 43% say AI has made a meaningful impact so far in improving threat intel sharing within their organization.

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

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