Despite the growing risks associated with AI, 67% of cybersecurity leaders believe these new threats require significant changes to existing security frameworks.
oOver the past year, 62% of organizations around the world have experienced deep-fark attacks, including the exploitation of social engineering or automated processes.
Additionally, 32% of companies reported attacks targeting AI applications through prompt manipulation.
A survey conducted between March and May 2025 among 302 cybersecurity leaders in North America, EMEA, and Asia-Pacific revealed that 29% of respondents have faced attacks on enterprise-generated AI (Genai) application infrastructure over the past 12 months.
Many organizations have discovered chatbot assistants that are vulnerable to adversarial prompting technologies in which attackers trick large-scale language models (LLMS) or multimodal AI systems into creating inputs to generate biased or malicious output.
“As adoption accelerates, attacks that utilize Genai for phishing, deepfakes and social engineering have become mainstream, but other threats such as attacks on Genai application infrastructure and rapid operations have emerged and gained traction.
Despite the growing risks associated with AI, 67% of cybersecurity leaders believe these new threats require significant changes to existing security frameworks. However, the report advises a balanced approach rather than wiping out the overhaul.
“Institutions need to strengthen core control and implement targeted measurements for each new risk category, rather than making drastic changes or isolated investments,” added Gupta.
In related insights, the Bain & Company report estimates that by 2030, approximately $2 trillion per year will be needed to fund the computing capabilities needed to meet global AI demand. Despite cost savings from AI, there remains a $800 billion shortfall in funds to meet the expected requirements.
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