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ING

ING

A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.

Risk and governance
Reporting history

AI disclosures by reporting period

Documents with no explicit AI/ML evidence are shown as such. Silence is not interpreted as inactivity.

Earnings release

ING results filing filed 30 Jul 2026

SEC EDGAR

Reporting period ended 30 Jun 2026

Primary source

ING's 2026 interim filing highlights artificial intelligence as an emerging operational, IT, and cybersecurity risk. The bank identified exposure to flawed outputs from AI algorithms and data sets, alongside the heightening speed and sophistication of cyber-attacks driven by AI. Consequently, ING is focusing on cyber resilience, prevention, and detection to mitigate these evolving threats.

Risk and governanceContinuing

AI identified as source of operational and data risk

ING disclosed operational and IT risks stemming from potential system issues, including risks arising from incomplete, inaccurate, or flawed outputs generated by the algorithms and data sets used in artificial intelligence.

any risks as a result of incomplete, inaccurate, or otherwise flawed outputs from the algorithms and data sets utilized in artificial intelligence

Context: Risk factors section

Risk and governanceContinuing

Advanced AI tools amplify cybersecurity threats

The bank noted that the rising use of AI is magnifying the speed, scale, and sophistication of cyber-attacks. Additionally, emerging technologies like advanced AI and quantum computing present cybersecurity and data privacy challenges.

The growing use of AI is increasing the speed, scale and sophistication of cyber-attacks, while ING's continued reliance on technology and third parties reinforces the importance of strong cyber resilience.

Context: Cybercrime and Artificial Intelligence section