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Asian Banks Tighten Defenses as Frontier AI Raises Cyber Risks

Major banks across Asia are strengthening oversight of advanced artificial intelligence tools as next-generation cybersecurity models raise concerns that hackers could identify software vulnerabilities faster and launch broader attacks.

The shift follows growing attention around Anthropic’s new restricted-access cybersecurity model, Claude Mythos Preview, which the company says identified thousands of major vulnerabilities across leading operating systems and web browsers. While designed for defensive cybersecurity, the model has intensified concerns that frontier AI could also accelerate offensive cyber capabilities if misused.

Singapore’s largest bank, DBS, warned that such AI systems amplify cyber risk by increasing both the speed and scale of attacks. CEO Tan Su Shan said the technology could expand the “blast radius” of cyber threats, while also offering defensive advantages if deployed responsibly.

Other major regional lenders, including OCBC and UOB, said they are enforcing strict governance, internal guardrails, and rigorous testing before implementing advanced AI tools. Standard Chartered similarly acknowledged rising sophistication in cyber threats but described the trend as an escalation of long-standing risks rather than an entirely new category.

Regulators are also taking notice. Australia’s prudential watchdog recently warned that banks may not be adapting quickly enough to AI’s rapid evolution.

The broader concern is that frontier AI is reshaping cybersecurity into a dual-use battleground: banks can strengthen defenses faster, but malicious actors may also gain unprecedented speed in exploiting digital weaknesses. As financial institutions accelerate digital transformation, balancing AI innovation with security controls is becoming a critical operational priority.

Citigroup Uses AI to Accelerate Onboarding and System Upgrades

Citigroup is deploying artificial intelligence to streamline operations, focusing on faster account onboarding and modernization of legacy systems.

According to Tim Ryan, AI tools are being used to migrate data from outdated infrastructure, automate software development tasks and accelerate system testing. These improvements are part of a broader effort to enhance productivity and meet regulatory requirements.

One of the most immediate impacts has been in client onboarding. AI-powered document processing has reduced review times for account openings in the bank’s U.S. services division from over an hour to approximately 15 minutes, significantly improving efficiency.

The initiative also supports Citigroup’s long-term strategy to reduce reliance on external contractors. Previously, contractors made up about 50% of the bank’s technology workforce. The company aims to bring that figure down to 20% by hiring more in-house engineers and strengthening internal capabilities.

Citigroup has expanded its technology workforce to roughly 50,000 employees and continues to increase investment in digital infrastructure. The push toward internal development aligns with its goal of deploying standardized AI tools across business units.

The bank is prioritizing automation in key operational areas, including client and employee onboarding as well as compliance processes such as “know your customer” (KYC) checks.

These efforts come as U.S. regulators, including the Federal Reserve and the Office of the Comptroller of the Currency, continue to require improvements in risk management, data governance and reporting accuracy following consent orders issued in 2020.

Citigroup’s approach reflects a broader trend in the banking sector, where AI is increasingly used to optimize operations, reduce costs and adapt to evolving regulatory and competitive pressures.

Payment System Outage Disrupts Moscow Transport and Shops

A widespread payment system disruption caused significant disruption across Moscow on Friday, affecting public transport, retail stores and services.

Shoppers and commuters reported failures in card and QR code payments, with many businesses temporarily switching to cash-only transactions. The issue also impacted the Moscow metro, where turnstiles were opened to allow passengers to travel without payment during the outage.

The disruption was linked to problems involving Sberbank, Russia’s largest financial institution, though the exact cause has not been disclosed. The bank later confirmed that services had been restored but did not provide further details.

Other services were also affected, including a regional zoo in Belgorod, which asked visitors to pay in cash due to the outage. Petrol stations and shops across the region experienced similar issues for about an hour.

Authorities, including Central Bank of Russia, have not yet commented on the root cause of the disruption.

The incident highlights the vulnerability of digital payment infrastructure in large urban centers, particularly when widely used systems experience sudden failures.