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Acuvity AI

Cybersecurity reports and statistics published by Acuvity AI

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Research Reports

Reports and publications from Acuvity AI

Recent Statistics & Reports

27% of organizations say runtime is the least defended phase in their AI security.

Only 32% of organizations operate at a managed level with measured effectiveness and reporting in AI security governance.

38% of organizations identify runtime as their most vulnerable phase in AI supply chain security.

18% of organizations identify GenAI features embedded in SaaS applications as their second-highest Shadow AI concern.

Other Shadow AI vectors, including personal accounts, third-party APIs, plugins, and local applications, each fall below 12% of organizations' concerns.

Infrastructure teams are responsible for 15% of AI security within organizations.

23% of organizations acknowledge inadequate preparation to address unapproved AI tools and services.

41% of organizations believe AI-driven insider threats are among the most likely AI incidents to impact their organization in the next 12 months.

31.2% of organizations expect AI Supply Chain Security to require the most new investment in AI security over the next 12 months.

16.0% of organizations expect Shadow AI management to require the most new investment in AI security over the next 12 months.

29% of organizations identify external APIs and SaaS-embedded AI features as their greatest AI supply chain risk.

17.4% of organizations adopting AI have Chief Data Officers holding primary responsibility for AI security.

15% of organizations adopting AI have infrastructure and operations teams controlling AI security.

13% of organizations adopting AI cite dataset integrity and contamination as an area where they are least prepared to address threats.

12% of organizations adopting AI point to model provenance and sourcing risk as an area where they are least prepared to address threats.

21% of organizations cite standalone GenAI tools (like ChatGPT, Claude, and image generators such as Midjourney) as their primary Shadow AI concern.

16% of organizations identify AI agents operating with user credentials as a Shadow AI concern.

31% of organizations identify data sources and embeddings as their greatest AI supply chain risk.

49% of organizations anticipate Shadow AI incidents.

25.0% of organizations expect AI agent security to require the most new investment in AI security over the next 12 months.

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