AI isn't just helping companies innovate; it's giving cybercriminals new tools to exploit. This article offers a forward-looking view of the AI-driven threats companies are most concerned about heading into the future, including deepfake phishing, AI-assisted malware, and real-time impersonation attacks. Read the article to understand what's on the horizon, and contact Capgemini to discuss strategies for strengthening your defenses before these threats scale.
What are the main AI cybersecurity threats companies face in 2025?
In 2025, companies are particularly worried about deepfakes and impersonation, with 47% of organizations citing these as their top concern. Additionally, 42% reported experiencing successful social engineering attacks in the past year, while 22% highlighted the risk of data leaks linked to generative AI use. The speed and sophistication of these attacks make them harder to detect and manage.
How does generative AI complicate cybersecurity management?
Organizations struggle with control and visibility as generative AI tools are used across various departments, including marketing, HR, and IT. This widespread use complicates the establishment of clear rules and oversight, raising the risk of AI cyberattacks and creating confusion over responsibility for security.
What steps can companies take to mitigate AI-related cybersecurity risks?
To mitigate AI-related cybersecurity risks, companies should implement red-teaming exercises to test how easily tools might reveal private content, provide clear guidance and training for staff on safe AI tool usage, and establish strong governance that involves collaboration across departments. This approach can help maintain data security and ensure responsible use of generative AI.
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