The Pwn2Own event revealed seven unique zero-day vulnerabilities in AI frameworks, highlighting the tangible security threats present in this rapidly evolving area. Notably, the Nvidia Triton Inference Server was primarily targeted. Organizations increasingly rely on AI for cybersecurity, focusing on automated discovery, risk prioritization, and anomaly detection, yet concerns regarding AI-related attack vectors are rising. Major risks identified include AI-driven phishing, data exposure, and shadow IT. Trend Micro advocates for embedding security in AI processes from the start, recommending proactive risk assessments and swift response to identified vulnerabilities within a 90-day patching period.
During the Pwn2Own event, researchers uncovered seven zero-day vulnerabilities in AI frameworks. The Nvidia Triton Inference Server received significant attention among the four frameworks targeted.
Organizations are increasingly adopting AI for cybersecurity improvements, prioritizing automated asset discovery and anomaly detection. However, there are rising concerns about new attack vectors.
British companies are particularly wary of AI-driven phishing attacks, sensitive data exposure, and the rise of shadow IT, marking significant risks associated with AI.
Trend Micro emphasizes the importance of integrating security into AI systems from the outset and encourages security leaders to proactively assess risks throughout the AI adoption phases.
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