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Suspected AI-agent cyberattacks affect 16 financial firms

18 OCTOBER 2026·2 MIN READ·2 SOURCES

Reports said approximately 100,000 pieces of information were leaked from 16 financial institutions, including Shinhan, KB, Hana and Busan Bank. Investigators found traces of an AI autonomous penetration-testing tool at an attacking IP address, but confirming whether an attack was caused by AI can be difficult.

Suspected AI-agent cyberattacks affect 16 financial firms

Key takeaways · 4

  • 01

    The reported incident affected 16 financial firms, with approximately 100,000 pieces of information leaked.

  • 02

    The exposed data included personal identifiers, but regulators found no evidence that account or card numbers were compromised.

  • 03

    AI-enabled attacks can run quickly and across multiple fronts, while determining whether AI caused an attack may be difficult.

  • 04

    A vulnerability-finding program is being piloted, but current law treats white-hat hackers’ attack attempts as illegal activity.

What investigators found

The reports described approximately 100,000 pieces of information leaked from 16 financial institutions, including Shinhan, KB, Hana and Busan Bank.[1] The exposed information included names, contact details and resident registration numbers, while regulators found no evidence that account or card numbers were compromised.[2] The affected firms spanned banks, savings banks, credit finance companies, electronic payment providers and cryptocurrency businesses.[2] Traces of ARTEX, an AI autonomous penetration-testing tool, were found at the attacking IP address.[1] That trace is evidence of possible tool use, not confirmation that AI carried out the attacks.[1]

Why AI complicates response

The reporting said AI tools designed to check security vulnerabilities may have been abused in actual attacks.[1] AI-utilizing attacks can be automated, carried out in a very short time and launched across multiple fronts simultaneously.[1] At the same time, even experts may find it difficult to confirm whether an attack was caused by AI.[1] Investigators were examining whether the attacks were carried out by the same hacking group.[2] For security teams, the combination makes it important to investigate the activity without treating the presence of an AI tool as conclusive proof of AI-led responsibility.[1]

Security gaps and policy response

Regulators found security deficiencies at 130 of 555 financial companies inspected through October 8, equal to 23.4 percent.[2] Reported problems included missing updates, weak oversight of unsupported systems, no 24-hour monitoring, and gaps in external-system authentication and authorization.[2] The Financial Services Commission planned sector-wide security reviews and broader reforms, including greater accountability for CEOs and boards.[2] The report characterized continued failures to meet basic security requirements as deeply troubling despite repeated calls for inspections and stronger controls.[2]

Testing defenses under current law

A pilot project is running to let white-hat hackers find and quickly fix vulnerabilities through attacks.[1] Under the current Information and Communications Network Act, white-hat hackers attempting attacks are committing illegal activity.[1] The government plans to pursue institutional changes related to the program after the pilot.[1] A separate security-focused AI foundation-model project, called “Teuk-pa-mo,” began in September and is targeting use next year.[1] The reporting also described discussions about integrating AI into existing security systems to find and fix problems before attackers can exploit vulnerabilities.[1]

The incident is a reminder to assess basic controls as well as prepare for faster, more distributed attacks. For security leaders, the challenge is to test defenses while accounting for legal constraints and the difficulty of attributing activity to AI.

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How this developed

  1. 18 October 2026

    Suspected AI-agent cyberattacks affect 16 financial firms

Sources

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