Gemini 2.5 Pro
Cybersecurity statistics about gemini 2.5 pro
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63% of mid-sized AppSec teams (11–50 members) that use SCA cite the inability to verify if vulnerabilities are exploitable in production as their biggest pain point.
58% of large AppSec teams (50 members or more) that use SCA cite the inability to verify if vulnerabilities are exploitable in production as a major pain point.
93% of CISOs and AppSec executives are ready to replace or purchase new AI-native application protection.
60% of ASPM platform users say issues are still ranked by theoretical severity instead of real exposure or exploitability.
16% of CISOs and AppSec executives want to consolidate the AppSec toolchain into one platform.
38% of small AppSec teams (1–10 members) that use SCA cite the inability to verify if vulnerabilities are exploitable in production as their biggest pain point.
71% of incidents in the Automotive and Smart Mobility ecosystem are attributed to black hat actors, up from 65% in 2024.
34% of incidents in the Automotive and Smart Mobility focus on business and operational disruption.
20% of incidents in the Automotive and Smart Mobility are massive-scale events.
67% of CISOs report limited visibility into how AI is used across their environment.
75% of CISOs report their enterprises rely on extending controls originally designed for other attack surfaces to cover AI-driven workflows and infrastructure.
11% of enterprise CISOs have security tools specifically designed to protect AI systems.
78% of enterprises fund AI security through existing security budgets.
27% of internal audit leaders view AI-enabled fraud as a high risk.
57% of internal audit functions currently assess control weaknesses that enable fraud.
26% of internal audit functions investigate and document AI's role in fraud incidents.
58% of internal audit leaders identify automated social engineering as a leading AI-enabled fraud threat.
28% of internal audit leaders are concerned about fabricated job applications or employee profiles created with AI.
27% of internal audit leaders are concerned about synthetic identity fraud enabled by AI.
57% of internal audit leaders identify a lack of appropriate technology or tools as a primary barrier to improving AI-enabled fraud preparedness.