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 ONIT Technology Solutions 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% identifying these as their top concern. Additionally, 42% of organizations reported experiencing successful social engineering attacks in the past year. Data leaks are also a significant issue, with 22% of companies highlighting the risk of sensitive information being inadvertently exposed through everyday tools.
How does generative AI complicate cybersecurity management?
The use of generative AI tools across various departments complicates cybersecurity management due to a lack of control and visibility. With different teams employing these tools for various purposes, it becomes challenging to establish clear rules and oversight. This can lead to confusion over responsibilities and increase the risk of AI cyberattacks.
What steps can companies take to mitigate AI-related cybersecurity risks?
To mitigate AI-related cybersecurity risks, companies should implement clear guidelines and training for staff on the safe use of generative AI tools. Conducting red-teaming exercises can help test how easily sensitive information might be exposed. Additionally, fostering collaboration between IT, legal, and compliance teams can enhance governance and ensure that responsibilities are well-defined.
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