Multimodal AI is widely deployed in the cloud (59%).

There was a 92% decrease in malicious and fake ChatGPT and other generative AI sites between April 2024 and April 2025.

73% of respondents report investing in AI-specific security tools, using either new budgets or reallocating existing resources.

34% of organizations are testing with plans to deploy AI at the edge within the next 24 months.

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

Compared to publicly available tools, 63% agree that domain-specific AI significantly or extremely enhances security operations.

1 in 3 (33%) of respondents plan to fill skills gaps with AI and automation.

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

There was a 2,000% rise in malicious sites containing "openai" in their name between April 2024 and April 2025

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

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

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

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

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

This number of blocked requests represented about 12% of all generative AI queries processed by DNSFilter in March.

Since January 2024, DNSFilter has been processing a monthly average of over 330 million queries that fall under the generative AI category.

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

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

60% report moderate budget increases of up to 25% in Edge AI.

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