AI
Cybersecurity statistics about ai
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48% are exploring edge AI specifically to reduce cloud computing costs.
A shortage of talent with edge AI expertise is a challenge for 37%.
In retail, CIOs reported higher adoption of multimodal AI (68%).
Over half (56%) of respondents have prioritized the application of AI to security workflows this year.
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.
59% of organizations have moderately or significantly boosted their efficiency with AI.
Nearly a third face significant resource limitations in fighting FWA.
60% report moderate budget increases of up to 25% in Edge AI.
High operational and maintenance costs of Edge AI are a challenge for 40%.
Only 1 in 10 agencies have all the tools and resources they need to fight FWA.
Finding the right technology vendors and partners of Edge AI is a challenge for 37%.
A staggering 96% of respondents said FWA has negatively impacted citizen trust in their agency and its programs.
In March, Notion accounted for 93% of all blocked generative AI queries, significantly more than the combined number for Microsoft Copilot, SwishApps, Quillbot, and OpenAI.
Only 11% of organizations fully trust AI for mission-critical tasks.
Larger businesses (500+ employees) are more aggressive, with 39% reporting significant budget increases in Edge AI compared to 23% of mid-sized organizations (250-500 employees).
Of those prioritizing AI security, nearly half are turning to new or emerging startups.
Multimodal AI is the most commonly deployed AI model at the edge (60%).
90% of organizations are increasing edge AI budgets for 2025.
31% of SOCs are using GenAI for Querying security data.