Under India's Cybersecurity and Cyber Resilience Framework, SEBI-regulated entities — stock exchanges, depositories, clearing corporations and mutual funds among them — must submit periodic cyber-audit reports. Reviewing these submitted reports manually is labour-intensive and makes it hard to compare cyber posture consistently across the sector.
C-SAC (Cyber-Sec Audit Compliance) is an AI-enabled platform SEBI built to automate this analysis: it ingests the cyber-audit reports entities file through SEBI's SI Portal, flags compliance gaps and risk areas, and generates comparative risk scores across regulated entities to support SEBI's risk-based supervision approach. According to Indian financial press coverage, in the 2025-26 financial year the platform processed reports for eight market infrastructure institutions and 23 mutual funds — SEBI's first disclosed usage figures for the tool.
C-SAC sits alongside other AI tools SEBI has rolled out in the same period, including InfoMerge for automating parts of investigation casework (data acquisition, analysis and report generation), and is distinct from SEBI's earlier, separately documented Project Sudarsan and R(ai)dar tools for flagging misleading financial content and advertisements. Coverage of C-SAC to date is limited: SEBI regulates many more market infrastructure institutions and thousands of registered mutual funds and intermediaries than the FY2025-26 figures cover, and neither SEBI nor independent reporting has yet published accuracy, false-positive rates, or an evaluation of whether the AI-generated risk scores changed supervisory outcomes. The risk-scoring methodology itself has not been made public.
Read the full analysis: https://www.newkerala.com/news/a/sebi-launches-three-new-it-platforms-transform-regulatory-971.htm
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