Research Report: AI for Securing loT Devices and Networks in India

Traditional security measures are often inadequate due to the complexity and scale of loT networks.

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With the rapid proliferation of Internet of Things (IoT) devices in India, security threats have escalated significantly. The integration of Artificial Intelligence (AI) has emerged as a powerful solution to protect IoT networks against cyber threats, unauthorized access, and data breaches. This research report explores the role of Al in securing IoT devices and networks in India, analyzing its advantages, challenges, and future prospects.

Introduction

India is experiencing a digital transformation, with IoT adoption expanding across industries such as healthcare, smart cities, agriculture, and manufacturing. However, this surge in IoT devices has increased vulnerabilities, making them prime targets for cyberattacks. Traditional security measures are often inadequate due to the complexity and scale of IoT networks. AI-driven security solutions offer a proactive approach, leveraging machine learning, anomaly detection, and predictive analytics to enhance IoT security.

AI-Driven Security for IoT

AI enhances IoT security through various techniques:

1. Anomaly Detection: AI algorithms monitor IoT networks in real-time, identifying unusual patterns that may indicate cyber threats.