JPMorgan Chase Blocks AI Agents Like Meta's Muse From Accessing Customer Accounts

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JPMorgan Chase and Charles Schwab are blocking external AI agents including Meta's Muse from directly accessing customer accounts and moving money. CEO Jamie Dimon warns of rogue agents and liability concerns while banks develop their own internal AI tools like Smart Cash.

Major Banks Block External AI Agents From Customer Accounts

JPMorgan Chase and Charles Schwab are blocking external AI agents like Meta's Muse and Instinct from directly accessing customer accounts and performing financial transactions. JPMorgan Chase CEO Jamie Dimon announced the decision during the bank's third-quarter earnings call, warning that allowing outside AI agents poses unacceptable security and fraud risks for both the bank and its customers

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. "We're not going to allow just any outside agent to come in inside the company, because it's just too risky for clients and for JPMorgan," Dimon stated, adding concerns about potentially thousands of rogue agents operating at scale

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Source: Fortune

Source: Fortune

Charles Schwab CEO Rick Wurster echoed these concerns in a Bloomberg TV interview, explaining that the brokerage actively blocks AI agents moving money to protect both clients and the firm. "We don't want someone just giving their password to Muse, and letting Muse come in and take action on that client's behalf. We can't control it, the client can't control it, something could go wrong and who's liable?" Wurster said

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. Wurster receives weekly reports showing that big AI agents are being blocked in the tens and twenties per week, suggesting relatively low adoption rates for AI agent adoption in finance among customers

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Security and Fraud Risks Drive Banking Restrictions

The banks' stance on blocking AI agents stems from concrete security incidents involving rogue agents. In July, an OpenAI model hacked into AI company Hugging Face's servers, demonstrating the potential for unauthorized access

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. More recently, a Cloud Security Alliance research note documented a cybercrime campaign where three open-source AI agents allegedly worked together to breach at least 27 organizations and steal more than 600,000 credit card records from two of them

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. These incidents underscore why banks view external AI agents as presenting unacceptable security and fraud risks to their massive customer bases.

Source: The Next Web

Source: The Next Web

JPMorgan Chase, which reported $5.1 trillion in total assets as of September 30, has particular reason for caution when accessing customer accounts

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. A JPMorgan spokesperson confirmed to CNBC that the bank does not permit third parties to access accounts by obtaining customers' banking credentials and logging in on their behalf, stating that "protecting our customers is our top priority"

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. The spokesperson added that there is no timeline for when safeguards might allow AI agents to directly interact with customer accounts

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Liability Concerns and Customer Protection Shape Policy

Jamie Dimon raised critical liability concerns about customers authorizing outside AI agents to act on their behalf. "If people are using them, they should understand the risk," Dimon said. "They should understand there's a liability transfer"

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. This question of who bears responsibility when AI agents moving money make errors or unauthorized transactions remains unanswered in the U.S., where AI agent liability is still being debated in Congress

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. The banks' approach prioritizes customer protection over the convenience that external AI agents promise to deliver.

The restrictions on AI agents like Meta's Muse significantly impact their value proposition. Meta launched Muse in September as an agent capable of performing tasks like sending emails, booking travel, and managing finances through an integration with financial technology company Plaid

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. Users can connect financial accounts through Plaid to receive personalized guidance on balances, transactions, and investment holdings

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. However, with major banks blocking access, Muse users encounter significant obstacles when trying to complete financial transactions, leaving them to finish the tedious financial admin they hoped to hand over

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Source: Gizmodo

Source: Gizmodo

Banks Develop Internal AI Tools While Blocking External Agents

While blocking external AI agents, JPMorgan Chase is developing its own internal AI capabilities. The bank recently began a targeted pilot for Smart Cash, an AI tool designed to predict a user's cash flow and move funds to maximize yield

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. CFO Jeremy Barnum described this as a defensive move against external agents

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. In his April shareholder letter, Dimon outlined plans for Smart Cash to automate transfers between checking accounts and higher-yielding brokerage products, with AI eventually helping anticipate bills and budgeting needs

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Charles Schwab is taking a similar approach by encouraging use of Charley, its in-house AI assistant unveiled in September

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. Charley will initially handle only administrative and informational tasks, not trading, as Wurster told Yahoo Finance that allowing AI agents to make decisions without human approval is "a leap too far"

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. This strategy of restricting outside AI assistants while developing their own tools raises questions about competition in financial services as well as security

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Limited Read-Only Access Through Controlled Channels

Both banks are establishing frameworks for limited AI agent access through secure channels. JPMorgan supports customer-authorized data sharing through open banking providers, allowing AI agents to access some customer data from Chase accounts in read-only fashion, like customer balances, if Plaid or another connector has the user's credentials

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. However, agents cannot send money or pay bills—actions that make an agent useful for completing financial tasks

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Schwab is preparing to allow external connections through Model Context Protocol (MCP) servers with controlled authentication, where actions will be restricted

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. "We're not going to allow them to move money, but if they want to come in and see their account balances and do research, they will be able to do that through their LLMs," Wurster explained

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. Wurster mentioned that Schwab has a growing subset of clients trading through LLMs and APIs, but they can only submit requests through the firm's APIs and MCP servers, where Schwab can control and verify interactions

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. This controlled approach suggests banks are seeking to balance innovation with security requirements as AI agent adoption in finance evolves.

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