Did 62% of Firms Face Deepfake Attacks in the Last Year?
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Synopsis
A recent report reveals alarming statistics about deepfake attacks, with 62% of organizations affected globally. As AI technology advances, the cybersecurity landscape faces unprecedented challenges. Discover how businesses are adapting and what measures are being taken to combat these emerging threats.
Key Takeaways
- 62% of organizations faced deepfake attacks in the last year.
- 32% reported attacks on their AI applications.
- 67% of cybersecurity leaders see the need for significant changes in cybersecurity approaches.
- Organizations should adopt a balanced strategy to tackle emerging risks.
- Projected AI compute requirements could reach 200 gigawatts by 2030.
New Delhi, Sep 24 (NationPress) A staggering 62 percent of organizations reported encountering a deepfake attack that involved social engineering or the exploitation of automated processes in the past year. Additionally, 32 percent of these organizations faced attacks on their AI applications that utilized application prompts, as outlined in a report released on Wednesday.
In the meantime, 29 percent of cybersecurity leaders believe their organizations suffered an attack targeting the infrastructure of enterprise GenAI applications in the last year, according to Gartner, a company specializing in business and technology insights.
These companies identified chatbot assistants as susceptible to a range of adversarial prompting techniques. Attackers have been known to generate prompts that manipulate large language models (LLMs) or multimodal models, leading them to produce biased or harmful outputs.
“As the adoption of these technologies accelerates, attacks utilizing GenAI for phishing, deepfakes, and social engineering have become commonplace. Concurrently, other threats—such as attacks on GenAI application infrastructure and prompt-based manipulations—are emerging and gaining momentum,” stated Prashast Gupta, a director analyst at Gartner.
A notable 67 percent of cybersecurity leaders indicated that the rising risks associated with GenAI necessitate substantial changes to established cybersecurity strategies. However, the report advocates for a more balanced approach.
“Instead of implementing broad changes or isolated investments, organizations should enhance core controls and apply targeted measures for each new category of risk,” Gupta emphasized.
This report was compiled from a survey conducted between March and May 2025, involving 302 cybersecurity leaders across North America, EMEA, and Asia-Pacific.
Previously, Bain & Company indicated in a report that approximately $2 trillion in annual revenue will be required to support the computing power expected to meet global AI demand by 2030.
Despite anticipated savings linked to AI, the world still faces a shortfall of $800 billion in meeting this demand.
The report also pointed out that by 2030, global incremental AI computing requirements could surge to 200 gigawatts, with the United States contributing to half of this energy consumption.
Point of View
It is evident that cybersecurity threats are evolving with the rise of AI technologies. The alarming statistics presented in the report highlight the urgent need for organizations to reassess their security measures and adapt to new risks. As the landscape continues to shift, collaboration and innovation in cybersecurity will be crucial for maintaining trust and integrity in our digital ecosystem.
NationPress
24/09/2025
Frequently Asked Questions
What percentage of organizations faced deepfake attacks?
62% of organizations reported experiencing deepfake attacks in the last year.
Are AI applications being targeted by cyberattacks?
Yes, 32% of organizations experienced attacks specifically targeting their AI applications.
What should organizations do to combat these threats?
Organizations should enhance their core controls and implement targeted measures for each new risk category.
How many cybersecurity leaders participated in the survey?
The survey involved 302 cybersecurity leaders across North America, EMEA, and Asia-Pacific.
What is the anticipated demand for AI computing power by 2030?
An estimated $2 trillion in annual revenue is needed to meet the anticipated AI demand globally by 2030.
