Enhancing IoT Security with Artificial Intelligence

This article explores the role of AI powered IoT security and its industry impact. It covers AI's applications in threat detection, access control, authentication, network security, vulnerability detection, and predictive maintenance. Additionally, it addresses limitations of AI in IoT security, including data requirements, false positives/negatives, AI system vulnerabilities, and implementation costs.

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Hardik Gohil

Hardik Gohil works as an engineer in the Cybersecurity domain at eInfochips. He has more than 2.5+ years of experience in Cyber Security and Web application development including application security, Vulnerability Management, and Risk Management. He has expertise in web application VAPT, Threat Modeling, Vulnerability Assessment, Secure Software Development Life Cycle, and Compliance.

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