AI on the Frontline: Global Firms Back Innovation, Brace for New Cyber Threats
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According to the study, 81% of global businesses are already using AI-driven tools as part of their cybersecurity strategy, with a further 16% actively exploring implementation. Nearly all respondents (97%) are open to using AI in some capacity. Over half are already relying on it for essential processes such as automated asset discovery, risk prioritization and anomaly detection. AI and automation are now considered top priorities for improving cybersecurity over the next 12 months by 42% of surveyed organizations.
This optimism also comes with significant risk. An overwhelming 94% of businesses believe that AI will negatively impact their cyber risk exposure within the next three to five years. Over half expect a surge in the scale and complexity of AI-driven attacks, which they say will force them to rethink and reshape existing cybersecurity strategies. Many point to the risk of sensitive data exposure, uncertainty around how data is processed and stored by AI systems, the potential for proprietary data to be exploited by untrusted models, as well as increased compliance pressures and monitoring challenges stemming from a proliferation of new endpoints, APIs and shadow IT.
The tension between opportunity and risk was evident at Trend's Pwn2Own event in
Twelve entries targeted four major AI frameworks, with the NVIDIA Triton Inference Server receiving the most attention. Chroma, Redis, and the NVIDIA Container Toolkit were also successfully exploited, in some cases using just a single bug to achieve full compromise. In total, seven unique zero-day vulnerabilities were uncovered in the AI frameworks. The vendors now have 90 days to patch the flaws before technical details are made public.
As AI becomes more deeply integrated in enterprise IT environments, Trend urges security leaders to proactively evaluate the evolving risk landscape and embed rigorous security practices into every stage of AI adoption.
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