Five risks of artificial intelligence in banks and the measures to reduce them
Artificial intelligence in banks already performs tasks such as verifying identities, handling claims or simulating loans, which brings risks around data security and control of operations. According to Deloitte figures cited by Numia, one in three financial institutions allocates budget to agentic AI, but only 21% considers it has a mature governance model. IBM X-Force reports that the financial and insurance sector was the second most attacked industry in the world in 2025, for the fifth consecutive year.
In 45 seconds
- One in three financial institutions already allocates budget to agentic AI, but only 21% believes it has mature governance, according to Deloitte cited by Numia.
- The financial and insurance sector was the second most attacked industry in the world in 2025, for the fifth consecutive year, according to IBM X-Force.
- Measures include defining permissions per agent, encrypting data and preventing customer information from training third-party models.
IASummary generated by artificial intelligence from a story by Pulzo. It may contain errors: the original source prevails.





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