AI Threats to Banks: Sitharaman Warned of Rising Cyber Risks

Finance Minister Nirmala Sitharaman recently met bank leaders to discuss growing risks linked to artificial intelligence (AI). Experts say this threat is becoming serious and needs urgent attention. For many years, banks mainly worried about bad loans, liquidity issues and market changes. These risks still exist. However, a new danger is rising fast: AI-driven fraud, cyberattacks and identity misuse. These threats can move much faster than traditional security systems.

Why AI Threats Are Growing

Banks today are fully digital. They handle millions of transactions, run mobile apps and store sensitive customer data. This makes them easy targets for cybercriminals. The concern increased after global discussions around Anthropic’s Mythos, an advanced AI model. Experts fear such systems could be misused to find system weaknesses, automate attacks and speed up fraud. Even if Mythos is not the main issue, the bigger point is clear: as banks become more digital, threats also become more advanced.

According to experts, banks attract attackers because they manage large amounts of data. He said cyberattacks are no longer slow or manual. They are now automated, faster and harder to detect.

AI has made fraud more dangerous in several ways:

• Deepfakes can copy voices or videos of senior officials to approve fake transactions.
• AI can create highly personalised phishing messages that look real.
• Synthetic identities mix real and fake data to bypass KYC securities and approve credits.

Scammers can also use AI to find system weaknesses in real time. In some cases, AI can even confuse fraud detection systems. Because of this speed, fraud can happen within seconds.

Are Banks Using Outdated Security?

According to Judge Group said AI is changing financial crime quickly. They explained that AI threats are not only advanced but also fast and large in scale. They questioned whether old security systems are still enough. Banks have long depended on tools like OTPs, voice checks and behaviour tracking. But AI is weakening these methods. For example, deepfake audio can break voice verification. AI can also copy user behaviour patterns. This means even identity can be faked.

Impact on Banks

AI-driven fraud is not just a security issue. It can affect a bank’s finances. Losses may increase, profits may fall, and capital strength may weaken.

• Fraud incidents also reduce the trust of the customers.
• When several customers withdraw money after such events, banks may face liquidity pressure.
• Regulators may respond with stricter rules, higher costs and penalties.

This makes cybersecurity a significant business concern, not just a technical issue. Experts recommend that banks act quickly. Traditional security methods are no longer enough.

Banks should:

• Banks should prefer the use of AI-based defence systems
• Keep an eye on threats continuously
• Share intelligence across the financial sector

They also need better risk planning, real-time threat detection and regular testing for cyber risks. Earlier, AI was seen as a tool for growth and innovation. Now, it is also a major risk factor. The message from Nirmala Sitharaman is clear. Banks must adopt new technology to stay competitive. At the same time, they must protect themselves from the risks that come with it.