The Securities and Exchange Board of India (SEBI), the regulator of India's securities market, has highlighted the growing role of Artificial Intelligence (AI) in financial market surveillance, cybersecurity, and risk management.
During the BFSI Insight Summit, SEBI discussed the possibility of developing a specialised domestic AI model for India's securities market. The initiative aims to strengthen financial data security, reduce dependence on foreign AI models, and improve regulatory capabilities.
The discussion comes at a time when India's capital markets are experiencing significant growth, with the market capitalisation-to-GDP ratio reaching approximately 130%.
The growing role of AI across banking, insurance, and investments is also explored in How AI in Financial Services Is Transforming Banking, Insurance and Investments.
| Key Metric | Value / Status |
|---|---|
| Market Capitalisation-to-GDP Ratio | Approximately 130% |
| Corporate Bond Market Size | Nearly ₹61 trillion |
| AI Governance Framework | IOSCO Supervisory Toolkit |
As financial markets become increasingly technology-driven, regulators face challenges related to data privacy, cybersecurity, AI model reliability, and operational risks.
SEBI is exploring domestic technology solutions and international regulatory frameworks to address these challenges and strengthen India's financial market infrastructure.
SEBI is exploring the development of a specialised AI model within India that could function as a form of Digital Public Infrastructure (DPI).
The proposed approach aims to reduce dependence on foreign AI models while ensuring better control over sensitive financial information. A domestic AI ecosystem could also support regulatory functions such as market surveillance, identifying suspicious trading activities, and managing financial risks.
AI applications in banking already demonstrate how technology can support fraud detection, data analysis, and operational efficiency. Learn more in The Most Powerful AI Applications in Banking.
SEBI is considering the supervisory toolkit developed by the International Organization of Securities Commissions (IOSCO) to establish an effective AI governance framework.
The framework can help regulators address emerging AI-related risks while encouraging responsible technology adoption across financial markets.
AI governance is particularly important because financial institutions use technology to process sensitive information and support important decisions. Understanding these applications is useful when exploring Artificial Intelligence in Finance, including its role in predictive modelling, fraud detection, cybersecurity, and financial decision-making.
SEBI is also strengthening cybersecurity capabilities through partnerships with Rashtriya Raksha University and the National Institute of Securities Markets (NISM).
The initiative focuses on training security personnel to understand and use AI-based technologies to identify cyber threats, improve threat detection, and strengthen financial sector security.
Cybersecurity is an important part of responsible AI adoption because financial institutions handle sensitive customer and transaction data. For a broader understanding of AI-powered security applications, read AI in Cyber Security.
Alongside AI adoption, SEBI is reviewing regulatory frameworks to improve market transparency, investor protection, and ease of doing business.
These proposed reforms cover Foreign Portfolio Investors (FPIs) and the Small and Medium Enterprise (SME) segment.
SEBI plans to issue a consultation paper focusing on simplifying compliance requirements for Foreign Portfolio Investors.
The objective is to make India's investment framework more aligned with international standards while maintaining appropriate safeguards for investor protection.
Simplified compliance procedures could make the Indian securities market more accessible to global investors.
SEBI is also reviewing the regulatory framework for companies seeking to list on SME platforms.
The proposed changes focus on areas such as:
Post-issue market capitalisation requirements.
Adoption of Indian Accounting Standards.
Improved corporate governance practices.
More reliable financial disclosures.
Stronger risk management and investor protection.
These measures aim to improve transparency and strengthen investor confidence in the SME market.
Understanding how financial institutions and investment businesses operate can provide useful context for these developments. Future of Investment Banking in a Digital-First Economy explores how technology, innovation, and changing market requirements are influencing the investment banking sector.
SEBI's proposed AI initiatives and regulatory reforms could influence how India's securities market operates in the coming years.
Some important areas of impact include:
AI-powered systems can help regulators analyse large volumes of financial data, identify unusual trading patterns, and detect potentially unfair market practices.
These capabilities are also relevant to fintech businesses, where analysing transaction data and identifying suspicious activity are important. Read about the 2026 Hiring Outlook for FinTech Analysts to understand the skills and industry developments shaping this area.
Developing domestic AI capabilities could provide greater control over sensitive financial information and reduce certain risks associated with dependence on external technology platforms.
Financial institutions must also consider how AI systems process, store, and protect customer information. This makes cybersecurity an important part of digital banking and financial technology operations.
Adopting international AI governance guidelines can help establish responsible AI practices, improve transparency, and address emerging technology-related risks.
Professionals working in finance also need to understand how technology, compliance, and analytical skills come together. How AI Is Changing Banking Jobs and Financial Services Careers explains how automation is influencing banking roles and the skills expected from professionals.
Simplified FPI compliance and improved SME listing regulations could support a more transparent and accessible investment environment.
A strong understanding of financial analysis, valuation, and capital markets can help learners understand these developments. Explore Investment Banking Analyst Skills: Financial Modeling, Valuation and Deal Analysis for an overview of the analytical skills used in investment banking.
The developments discussed at the BFSI Insight Summit are relevant to students pursuing banking, finance, commerce, and management studies.
They also offer important insights for competitive examinations, particularly in the following areas:
Banking and Financial Awareness: Understanding SEBI's role in regulating India's securities market.
Artificial Intelligence in Finance: Learning how AI supports market surveillance, cybersecurity, and risk management.
Digital Public Infrastructure: Understanding the importance of domestic digital and technological capabilities.
Current Affairs: Tracking regulatory developments related to FPIs, SME listings, and financial market governance.
Competitive Examinations: Preparing for banking, civil services, and commerce-related questions on financial regulations and fintech developments.
Students interested in financial markets can strengthen their understanding through How Financial Markets Basics From BFSI Certification Course Applies on the Job. It explains how knowledge of investment products, market movements, risk profiles, and regulatory compliance connects with practical financial services roles.

