WHITEPAPER

AI Brings Speed, Profit, and Cybersecurity Risk to the Semiconductor Industry

AI is transforming the semiconductor industry, accelerating chip design, improving defect detection, increasing efficiency, and more. In fact, 60% of foundries have already invested in AI, and more are sure to follow. It’s also boosting demand for AI-specific chips. In 2024 alone, AI semiconductors are expected to drive $50 billion in business (roughly 8.5% of all chip sales), according to Deloitte.

This wave of AI also poses new cybersecurity risks in the semiconductor industry.

For companies at any stage of semiconductor chip manufacturing from design to shipping, AI introduces the following risks:

• Leakage of intellectual property (IP) and other sensitive information through public large language models (LLMs) like ChatGPT
• Compromising or oversharing sensitive information indexed by private GenerativeAI platforms like Copilot for Microsoft 365
• A significant increase in the number of cybersecurity attacks using AI-powered tools

Read this whitepaper to learn how to protect your organization, intellectual property, and other sensitive data from new AI risks.

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