• Hurmat Shahin

With the rise in cyber threats targeting critical sectors such as banking, manufacturing, and smart city infrastructure, there is an increasing need for advanced cybersecurity solutions. Artificial Intelligence (AI)-powered Intrusion Detection Systems (IDS) offer proactive threat detection and response mechanisms. This pilot study explores the implementation, effectiveness, and challenges of deploying AI-driven IDS in Jamshedpur’s key industries, assessing its impact on cybersecurity resilience. With the increasing digitalization of industries, banking institutions, and smart city infrastructure, Jamshedpur faces growing cybersecurity threats, including ransomware attacks, phishing, and zero-day vulnerabilities. Traditional Intrusion Detection Systems (IDS) that rely on signature-based and rule-based threat detection are no longer sufficient to counter sophisticated cyber threats. This study explores the implementation of AI-driven IDS to enhance cybersecurity in Jamshedpur’s critical sectors, including banking, manufacturing, and smart city networks. AI-powered IDS leverages machine learning (ML) and deep learning (DL) to detect anomalies, predict cyber threats, and respond in real-time. These systems offer significant advantages, such as adaptive learning, reduced false positives, and the ability to detect previously unknown attacks. The pilot study assesses AI-driven IDS in real-world applications across Jamshedpur’s industrial and financial sectors, analyzing its effectiveness in mitigating cyber risks. The findings indicate that AI-IDS improves threat detection accuracy, enhances response time, and provides a proactive cybersecurity approach. However, challenges such as implementation costs, data privacy concerns, and skill gaps must be addressed for widespread adoption. A multi-layered security strategy integrating AI with traditional security measures can significantly enhance cyber resilience in Jamshedpur’s critical sectors. This study highlights the potential of AI-IDS in securing industrial operations, banking transactions, and smart city services against evolving cyber threats. Future research should focus on improving AI models, addressing ethical concerns, and integrating AI-driven IDS with blockchain and cloud security solutions. AI-powered cybersecurity is essential for ensuring the digital safety and economic stability of Jamshedpur’s rapidly modernizing infrastructure.

AI-Driven IDS, Cybersecurity, Jamshedpur, Banking Security, Industrial Cyber Threats, Smart City Security.

"PILOT STUDY ON THE IMPLEMENTATION OF AI-DRIVEN INTRUSION DETECTION SYSTEMS (IDS) IN JAMSHEDPUR’S CRITICAL SECTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.h643-h657, December-2024, Available :http://www.jetir.org/papers/JETIR2412776.pdf

"PILOT STUDY ON THE IMPLEMENTATION OF AI-DRIVEN INTRUSION DETECTION SYSTEMS (IDS) IN JAMSHEDPUR’S CRITICAL SECTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. pph643-h657, December-2024, Available at : http://www.jetir.org/papers/JETIR2412776.pdf