Security for generative AI has quickly risen as a top spending priority, securing the second spot in ranked-choice voting, just behind cloud security.

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

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.

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

Multimodal AI is the most commonly deployed AI model at the edge (60%).

High operational and maintenance costs of Edge AI are a challenge for 40%.

70% of the surveyed government fraud fighters have seen an uptick in AI-powered fraud attacks in the last five years.

A third of respondents indicate that GenAI is either being integrated or is actively transforming their operations.

85% of respondents listed fighting fraud as a top five priority.

Nearly a third face significant resource limitations in fighting FWA.

31% of SOCs are using GenAI for Querying security data.

77% of CIOs with deployed edge AI solutions focus on risk management applications.

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.

The greatest benefit cited ( 57% ) among those already using AI is greater workforce efficiency.

29% of SOCs are using GenAI for Writing/editing security policies.

30% are reporting significant budget increases of 25% or more in Edge AI.