AI
Cybersecurity statistics about ai
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24 S&P 500 companies highlight risks spanning copyright disputes, trade-secret theft, and contested use of third-party data for AI model training related to intellectual property.
24 S&P 500 companies identified AI privacy and data protection issues as a source of reputational risk.
12% of S&P 500 companies flagged AI as a material risk in their public disclosures in 2023.
An official app store is most influential for Gen X (53%) regarding what indicates security in an app.
26% of consumers would try to avoid all apps with AI-generated code if they learned that AI-generated code caused a vulnerability in an app they used.
Nearly half (47%) of respondents say they are concerned about AI in apps.
30% of schools have experienced students creating harmful AI content (deepfakes of peers, etc.).
49% of students use AI for language assistance.
36% of faculty express substantial worry about financial damage related to AI.
43% of faculty express substantial worry about bias in AI outputs.
The top three investment priorities when allocating cyber budgets are: Artificial intelligence (AI) (36%), Cloud security (34%), and Network security and zero trust (28%).
60% of faculty use AI for lesson preparation.
An official app store is most influential for Millennials (52%) regarding what indicates security in an app.
90% of faculty are at least “somewhat concerned” about AI-related cybersecurity threats.
52% of faculty are concerned about deepfake impersonation of staff/students due to AI.
More than 60% of data and IT leaders say data security and privacy is their biggest concern when implementing AI/ML.
A well-known brand (50%) is most influential for Gen Z regarding what indicates security in an app.
44% of Millennials see developers as most responsible for protecting personal data in an app.
AI enablement of key cyber capabilities is the #1 cyber investment priority for security leaders.
17% of education institutions approve AI tools without guidelines for faculty and staff.