According to reports from Business Standard, traditional banking metrics like capital, liquidity, asset quality and profitability remain relevant, but cybersecurity has become equally important. Banks now operate through digital platforms, payment networks, cloud services, fintech partnerships, and outsourced providers, creating multiple potential entry points for cyber risks. A cyber incident can begin with malicious links, compromised credentials, vulnerable vendors, or technology outages, but its consequences can quickly become institutional, affecting customers, operations, compliance, reputation and the wider financial ecosystem.
As reported by Business Standard, cyberattacks are becoming more organised, targeted and difficult to detect. Common threats include ransomware, credential theft, phishing, business email compromise, malware, denial-of-service attacks and supply-chain compromises. Artificial intelligence (AI) is adding complexity, as banks can use AI for anomaly detection, security analytics, and fraud monitoring, while criminals can use it to create more convincing phishing messages, deepfake voices, and highly personalised fraud attempts. Frontier generative AI tools may enable vulnerabilities to be discovered, tested and exploited faster than banks can respond.
According to the report, cyber risk must be integrated into enterprise risk management, internal controls, compliance, audit, outsourcing arrangements and supervisory engagement. The response must be institutional and system-wide, not episodic, with cyber risk assessed with the same seriousness as other material banking risks. Banks must prepare for early detection of unusual activity, impact containment, continuity, and quick recovery. This requires identifying critical operations, systems, datasets and third-party dependencies, with business continuity plans addressing cyber-specific scenarios rather than generic outages. Incident response teams must know their roles, and forensic readiness must ensure preservation of logs, evidence, and audit trails.
As reported by Business Standard, boards and senior management must ask critical questions about critical services, major cyber scenarios, restoration timelines, vendor monitoring, and cyber drill effectiveness. The customer interface presents particular challenges, as many incidents arise where fraudsters exploit fear, urgency, misinformation, or lack of awareness. Banks need to strengthen customer-facing controls through behavioural alerts, transaction monitoring, cooling periods for high-risk transactions, mule account detection, quicker responses to complaints and clear customer communication. The objective is not to make digital banking difficult, but to make risky behaviour harder to exploit, ensuring informed oversight without overloading boards with technical details.
According to the report, regulatory expectations cover IT governance, digital payment security, outsourcing, fraud risk management, and incident reporting. India has established an institutional architecture including CERT-In, CSIRT-Fin, I4C, NPCI fraud-monitoring arrangements, and RBI supervisory engagement. The next phase will test existing security models with open banking, embedded finance, cloud concentration, digital currencies, AI-enabled attacks and quantum computing developments. Banks must invest in technology, skills, governance, testing, incident response and customer communication to treat cybersecurity as essential for sustainable digital growth, with fraud patterns detected by one institution serving as early warnings for others.
