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Intel Partners with CrowdStrike to Enhance AI Security for PCs Amid Rapid Market Growth

Intel partners with CrowdStrike to secure AI adoption on PCs, enhancing threat detection as the AI market is set to grow from $757.6B in 2025 to $3.68T by 2034.

Intel Corporation has announced a collaboration with CrowdStrike, a prominent AI-native cybersecurity firm, aimed at securing artificial intelligence (AI) adoption across AI-enabled personal computers (PCs). The initiative comes as modern AI PC architectures, powered by Intel’s AI chips, now include Neural Processing Units (NPUs) specifically designed for AI tasks alongside traditional CPUs and GPUs. Intel’s advanced Threat Detection Technology, which aids in identifying ransomware and crypto mining malware, will complement its vPro platform, offering hardware-assisted recovery capabilities to enhance security.

The partnership will integrate CrowdStrike’s Falcon platform into Intel’s systems, significantly bolstering real-time threat detection and providing defense against AI-specific threats. As enterprises increasingly adopt sophisticated AI models, the risks associated with sensitive data exposure, malicious prompts, and AI-generated malware have surged. This collaboration seeks to address these vulnerabilities, enabling organizations to adopt AI technologies more confidently while maintaining optimal PC performance.

The global AI landscape is experiencing rapid growth, with a report from Precedence Research projecting the market to expand from $757.6 billion in 2025 to $3.68 trillion by 2034, reflecting a compound annual growth rate of 19.2%. Intel, with its robust offerings in the AI PC sector, is strategically positioned to leverage this trend, enhancing its competitive stance.

Intel’s move comes amid intense competition from rivals such as Advanced Micro Devices (AMD) and Qualcomm Incorporated (QCOM). Qualcomm employs a smartphone-inspired strategy for device security, focusing on on-device AI, privacy-first design, and isolating AI workloads from the operating system. Its technologies, including Snapdragon Guardian, provide end-to-end PC management through hardware, software, and cloud integration, effectively safeguarding data and devices.

Meanwhile, AMD offers a dedicated security chip, full memory encryption, and enhancements aimed at preventing firmware attacks, in collaboration with Microsoft to protect sensitive credentials through Microsoft Pluton integration. As these competitors innovate, Intel’s partnership with CrowdStrike underscores its commitment to addressing emerging cybersecurity challenges while promoting AI adoption.

In terms of market performance, Intel shares have seen significant growth, surging 101.4% over the past year compared to a 50% increase in the broader industry. The company’s stock currently trades at a price-to-book ratio of 1.87, notably lower than the industry average of 26.15. Analysts have raised earnings estimates for Intel for 2026 and 2027 over the past two months, contributing to its current Zacks Rank of #3 (Hold).

Investors are also keenly observing the semiconductor sector, which is projected to grow substantially as demand for AI, machine learning, and Internet of Things applications intensifies. The global semiconductor manufacturing market is expected to expand from $452 billion in 2021 to $971 billion by 2028, indicating that companies like Intel and its competitors are poised to benefit from this exponential growth.

In conclusion, Intel’s collaboration with CrowdStrike not only aims to fortify the security of AI applications but also positions the company to capitalize on a rapidly evolving market landscape. As organizations continue to integrate AI technologies, the need for robust cybersecurity measures will only intensify, making Intel’s approach essential for maintaining competitive advantage and fostering innovation in the field.

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Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

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