Majority of Senior Cybersecurity Leaders Have Limited Trust in AI
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A report by Onapsis analyzed AI cybersecurity challenges for organizations. According to the report, 22% of organizations experienced a security incident in the last twelve months where bad actors used AI to exploit their critical business platforms.
The study also found that 70% of senior cybersecurity leaders have only some trust or no trust at all in AI to secure their organizations’ business critical data. However, more than half (58%) report that their organizations started using AI-based apps or agents that touch their enterprise resource planning (ERP) system within just the last six months, and 86% say they have already integrated, or will shortly integrate, AI directly into their ERP code.
Nearly 57% of respondents report that at least one business unit has objected to implementing AI within the ERP environment, with the security team topping the list of resistant groups (41.4%), followed by IT (20.7%) — the very function responsible for the ERP. The top reasons cited for resistance were lack of confidence in AI security (75%) and compliance risk (71.6%).
According to the report, 68.6% of respondents say they are only "somewhat" or "not very" confident that their current security defenses could even detect an AI-based attack. A similar share — 70.6% — report having only some, or no trust at all in AI applications and agents to secure their organization's most business-critical data. When asked what it would take to build that trust, respondents pointed to robust access management controls (61.8%), strong personal data protections (45.8%) and sandboxing or digital twin environments (36.8%) as the top requirements over the next 12 months.
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