Among those already using AI to confront FWA, nearly 40% cite better prioritization of fraud alerts and quicker identification of FWA as benefits.

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

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

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

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

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

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

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

Large Language Models (LLMs) are widely deployed in the cloud (59%).

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

48% are exploring edge AI specifically to reduce cloud computing costs.

A shortage of talent with edge AI expertise is a challenge for 37%.

90% of organizations are increasing edge AI budgets for 2025.

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

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

Nearly a third face significant resource limitations in fighting FWA.

73% of respondents cited high implementation and maintenance costs as the top concern, presenting a barrier to AI adoption.

56% of global businesses are scaling or fully implementing AI.

56% of global businesses are scaling or fully implementing AI.

58% of respondents reported difficulty integrating the technology with existing systems as a barrier to AI adoption.