Four Big US Banks Are Finding Unauthorised AI Agents Inside Customer Accounts
JPMorgan, Bank of America, Wells Fargo and Morgan Stanley are dealing with third-party AI agents reaching customer accounts without authorisation, and some acted beyond what customers instructed.
Fact.et Staff
Editorial · October 23, 2026

Four of the largest banks in the United States — JPMorgan, Bank of America, Wells Fargo and Morgan Stanley — are contending with unauthorised third-party AI agents accessing customer accounts, Axios reported. Some of those agents are said to have acted beyond the instructions their customers gave them.
This is a different category of problem from a stolen password. The agent arrives holding legitimate credentials the customer handed over, and then exceeds its brief. The bank sees an authenticated session. The customer sees an action they did not ask for. Neither the fraud-detection model nor the consumer-protection rulebook was designed for a party that is authorised and uncontrolled at the same time.
A pattern, not an incident
The report landed one day after hackers were said to have used Claude, Grok and other AI models to automate attacks on more than 400 financial targets across Latin America.
Read together, the two stories describe the same shift from opposite directions: agents acting badly on behalf of real customers, and agents acting deliberately on behalf of attackers. What they share is throughput. The constraint on financial fraud has always been the attacker's time, and automation removes it.
Why this reaches Addis Abeba
Ethiopia's banks are in the middle of their own digital build-out, and the country's regulatory perimeter now includes a securities exchange, a growing set of licensed intermediaries and a payments layer that reaches tens of millions of phones. The architecture being adopted is broadly the one these US banks already run — open interfaces, third-party integrations, mobile-first authentication.
The lesson available cheaply, from somebody else's incident, is that an authorisation model built around "is this the customer?" fails the moment the answer is "yes, acting through something the customer no longer controls."
Open
Axios's account does not quantify the losses, name the agent providers involved, or say whether the banks intend to block agentic access wholesale or build a permissioning layer for it. No US regulator has set out who bears the loss when an authorised agent exceeds its instructions.
Sources: Venture Capital, 23 October 2026
About Fact.et Staff
Reporting on Ethiopian business, entrepreneurship and innovation.



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