Regulatory compliance alone is not enough to protect financial institutions from evolving cyber threats. The MAS TRM Guidelines and IBTRM Framework demand continuous cyber risk management, vendor oversight, and real-time risk quantification—yet many banks still rely on static, manual assessments that fail to provide true risk intelligence.

This use case guide reveals how leading banks and financial institutions in Singapore are leveraging Nexus AI-powered cyber risk analytics to streamline compliance, monitor cyber risks in real time, and optimise cybersecurity investments.

📖 What You Will Learn:

✔ How to automate MAS TRM compliance tracking and reduce audit workload
✔ Why real-time risk monitoring is critical for evolving cyber threats
✔ How to quantify cyber risk in financial terms to justify security investments
✔ How AI-driven vendor risk monitoring enhances third-party oversight
✔ How banks are shifting from static assessments to continuous, AI-powered risk intelligence

💡 Why You Need This Guide

🔹 Regulatory pressure is increasing – MAS TRM and IBTRM demand ongoing compliance, but most banks struggle to maintain it efficiently.
🔹 Cyber threats evolve daily – Annual or quarterly risk assessments fail to reflect real-time risks, leaving institutions vulnerable.
🔹 Manual risk processes create blind spots – Without data-driven risk scoring, compliance efforts remain reactive rather than proactive.
🔹 Cybersecurity budgets need justification – Quantifying risk in financial terms helps risk teams secure board buy-in for investments.

📥 Download the BFSI Use Case Guide Now and discover how AI-powered cyber risk analytics can transform your approach to compliance and security.

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