62% of organizations suffered a deepfake attack and 32% faced an attack on AI applications
Twenty-nine percent of cybersecurity leaders said their organizations experienced an attack on corporate application infrastructure. Generative Artificial Intelligence (GenAI) in the last 12 months, according to research from Gartner, Inc.., a business insights and technology company.
The survey was conducted between March and May 2025 with 302 cybersecurity leaders across North America, Europe, the Middle East and Africa (EMEA), and Asia/Pacific.
The survey revealed that in the last 12 months, 62% of organizations suffered a deepfake attack involving social engineering or exploitation of automated processes, while 32% said they faced an attack on Artificial Intelligence (AI) applications that exploited an application prompt. Chatbot assistants are vulnerable to a variety of adversarial prompting techniques, such as attackers generating prompts to manipulate Large Language Models (LLMs) or multimodal models to produce biased or malicious responses.
GenAI's Impact on the Attack Landscape (Percentage of Responders)
Source: Gartner (September 2025)
“As adoption accelerates, attacks using GenAI for phishing, deepfakes, and social engineering have become commonplace, while other threats, such as attacks on GenAI application infrastructure and prompt-based manipulations, are emerging and gaining traction,” he says. Akif Khan, Vice President Analyst at Gartner.
While 67% of cybersecurity leaders said that emerging GenAI risks require significant changes to current cybersecurity approaches, Gartner asserts that a more balanced strategy is needed. "Rather than making sweeping changes or isolated investments, organizations should strengthen core controls and implement targeted measures for each new risk category," says Khan.
Gartner clients can read more at “Data View: What Is the Impact of GenAI on the Attack Landscape?"Learn how to maximize the value of AI while managing critical risks in this free e-book."AI in Cybersecurity: Minimize Risks and Maximize Impact”.
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