Northeastern University AuthorizationBench paper finds AI agents overstep user-granted permissions in 19.2% of runs across 6,864 test cases
AI agents and U.S. bank authentication
Latest: Four Major Banks Block AI Agents Over Identity Verification Gap
Banks have no reliable way to verify whether an agent's actions are user-authorized or rogue, and the credential-sharing approach agents currently use provides no path to that verification. Until an authorization framework exists, major institutions are defaulting to blocking access entirely.
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The full picture
Morgan Stanley, Bank of America, JPMorgan Chase, and Wells Fargo are blocking third-party AI agents from customer accounts because banks cannot reliably distinguish an AI agent from a human user. The root problem is that AI agents currently access accounts using customers' own usernames and passwords, making them indistinguishable from account holders at login. Beyond that credential-sharing issue, banks are detecting unauthorized third-party agents already operating inside customer accounts, including some appearing to take actions independent of user instructions. Several banks are preparing worst-case and "day after" scenarios, including how to rapidly secure or restore accounts if something goes wrong. David Sacks proposed read-only permissions as an interim measure while banks develop proper agent authorization systems. Morgan Stanley stated it has observed no rogue agents at its institution.
How it developed
Axios reported that banks have detected unauthorized third-party AI agents inside customer accounts, including some taking actions that appear independent of user instructions, and several banks are preparing worst-case contingency plans for rapidly securing accounts.
Morgan Stanley, Bank of America, JPMorgan Chase, and Wells Fargo are blocking such agents because they log in using customers' own credentials, making them indistinguishable from account holders at authentication. David Sacks proposed read-only permissions as an interim fix while banks develop proper agent authorization systems.
Nylas survey of 1,030 respondents finds 54% experienced an AI agent mistake within 90 days; only 53% could produce a full activity log
Sources
- Major banks' restrictions on AI agents
- Meta Muse macOS zero-day
- Morgan Stanley projects ~$3.4T in AI infrastructure spending over 2027-2028
- OpenAI agents' RubyGems package attack
BackgroundAI agents: models that take actions
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