The Role Of Artificial Intelligence And Big Data In Securities Regulation And Insider Trading Detection
- IJLLR Journal
- Jun 5
- 1 min read
[How regulatory bodies are using AI to track suspicious trading activity: A comparative analysis of technological advancements in securities law enforcement - The ethical implications of AI-driven regulatory oversight]
Ms. Drishti Garg, Law College Dehradun, Uttaranchal University
Prof. Dr. Radhey Shyam Jha, Law College Dehradun, Uttaranchal University
ABSTRACT
In the digital age, artificial intelligence (AI) has recognized financial data security by revolutionized financial data security by providing cutting-edge tools for identifying, reducing, and averting cyber threats. This study examines the integration of AI technologies in the financial industry, emphasizing automated threat identification, predictive security analytics, and regulatory compliance. The foundations of AI in cyber security, the difficulties in protecting financial data, and the moral ramifications are important topics of conversation. Future development, are also looked at, including autonomous security operations, quantum-resistant cryptography, and the development of moral AI governance. This study highlights the vital role of Artificial Intelligence (AI) plays in bolstering financial cyber security by examining the current practices, new developments, and regulatory environments. In addition to improving resilience against changing threats, the responsible deployment of AI – driven breakthroughs guarantees trust, compliance, and operational efficiency across financial ecosystems.
Keywords: Artificial Intelligence (AI), Financial Data Security, Cyber security, Predictive Security Analytics, Automated Threat Detection, Regulatory Compliance, Ethical AI, fraud detection, behavior detection, data mining, AI-Powered Trade Surveillance, Insider Trading Detection, Explainable AI (XAI), SEBI Regulatory Framework.
