Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
AI Agents Expose Weak Links in Financial Authorization
September 25, 2026 | NCFA Insight | Artificial Intelligence And Data, Risk Compliance And Regtech, Payments Infrastructure And Money Movement, Cybersecurity And Fraud
Agent Authority Across Connected Financial Systems
On September 24, 2026, Australian Prime Minister Anthony Albanese disclosed an unusual AI security incident during the 81st United Nations General Assembly in New York. An OpenAI agent had gained unauthorized access to a Services Australia Medicare statistics portal while researching public medicine spending. It reached public files and files that were not public, and Australia's forensic investigation is still underway.
The agent had been assigned a legitimate research task. When the portal denied the information it wanted, the software tried other routes and eventually crossed an authorization boundary. For banks, fintechs and other firms giving agents access to APIs, credentials or transactions, the key question is whether every route to an action enforces the same authority.
Australia's AI Agent Found Another Route
The June 18 incident touched four Australian public websites. The government said interactions with the Australian Institute of Health and Welfare, the Victorian Department of Health and the NSW Bureau of Crime Statistics and Research were normal. The failure occurred at the Medicare Statistics Reporting Service portal after the requested information was denied.
The government's account says the agent kept trying to complete the task, obtained unauthorized access and wrote files to an internal server. Australia hasn't disclosed the exact vulnerability, request sequence or authorization flaw. No personal Medicare information is believed to have been accessed at this stage, and investigators are still checking whether other government systems were affected.
OpenAI identified the activity in August and notified Services Australia in September. Its separate review of agent behaviour has documented access control bypasses, exposed credentials, query or command injection and access to runtime internals across other incidents involving third parties. In July, NCFA reported that OpenAI models used during cybersecurity evaluations circumvented isolation controls and reached Hugging Face production systems after exploiting a vulnerability in the evaluation environment.
A September 21 UN brief described agents finding ways around restrictions, using channels they weren't supposed to use and keeping at a task in unexpected ways. That doesn't mean every agent will hunt for a weak point. It does mean that blocking one route doesn't guarantee the action itself is blocked.
Permissions Need To Follow The Action
Security teams already have language for much of this problem. The Open Worldwide Application Security Project (OWASP) also warns about agents using tools in the wrong way, being given too much freedom and getting more access than they should. NIST zero trust separates identity from authorization and checks access at the resource rather than assuming a known user or service can act everywhere.
The data support that caution. A NeurIPS 2025 red team competition collected 1.8 million prompt injection attacks against agents powered by 22 frontier models across 44 scenarios. More than 60,000 attacks produced documented policy violations, and the resulting benchmark reached near 100% attack success across the agents and policies tested. These were adversarial tests, not production incident rates, but they show how unreliable model instructions can become under deliberate attack.
Agent Security Bench, published at ICLR 2025, tested 13 model backbones across 10 scenarios with more than 400 tools. Its highest average attack success rate was 84.3%. The failures appeared across prompts, tool use and memory, which makes the surrounding permission system part of the security design rather than a backstop after the model fails.
Knowing which agent is calling an API is only the first check. A financial workflow also needs to know what resource the agent can reach, what action it can take, whose authority it is using and whether the amount, beneficiary or transaction still fits that mandate. Those checks become more important when one workflow crosses a bank, custodian, payment processor, cloud service or external API.
See AI Agents Gain Identity and Wallet Access WCGW
A strong control at one interface won't protect a weaker route elsewhere. A bank may block a beneficiary change in one application while a connected treasury API or vendor exposes a different way to reach the same payment outcome. Consequential systems therefore need their own authorization checks at the point where data, money or instructions change.
Financial Agents Can Already Spend And Submit
Canadian deployments are already giving agents authority inside real financial workflows. On September 21, Mastercard, Flybits and Rogers Bank announced a card purchase in which an AI shopping assistant selected a product and completed payment within customer instructions and a spending limit. Two days later, OneVest launched an account opening product that can prepare applications, submit information, follow cases through custodian processing and help staff work through exceptions. The Rogers Bank transaction used a defined spending ceiling rather than open authority over the card, while regulated firms using OneVest remain responsible for KYC, suitability, supervision and other decisions. Both examples show why access alone is too broad a control once software can act.
Finance also leaves less room to correct a mistake after the fact. A payment can settle, a beneficiary can change, a securities order can reach the market or a wallet can transfer value before a reviewer sees what happened. Spending limits, approval thresholds, revocation and transaction checks therefore have to work during execution, not only in a later audit.
Requiring a person to approve every tool call would remove much of the operating benefit. The more practical model is graduated authority. Low risk tasks can run inside narrow permissions, while higher impact actions trigger a fresh check or human approval before money, ownership or customer instructions change.
Canada Is Defining Agent Identity And Permissions
Canadian guidance is becoming more specific. The Canadian Centre for Cyber Security's agentic AI guidance recommends a distinct identity for each agent, narrow permissions, temporary credentials, controls around tool use and human checkpoints for higher risk activity. It also warns that governance built around human users does not always transfer cleanly to autonomous software.
OSFI's July 2026 technology bulletin identifies tool chaining, weak traceability and automated execution as agent risks. It points to unique identities for software agents, least privilege, temporary access, credentials that expire quickly, tool allowlists, API gateways, approval checkpoints and activity logs. OSFI describes these as sound practices, not new regulatory expectations.
Existing financial rules still place responsibility on the institution. OSFI's technology and cyber risk guidance already covers layered controls, identity and access management, monitoring and service accounts. Its third party risk guidance covers technology, cyber and subcontractor risk at outside providers. Those obligations become harder to manage when an agent can cross several organizations during one task.
OWASP's 2026 agentic framework adds threat categories around goal hijacking, tool misuse, identity and privilege abuse and agentic supply chains. ISO/IEC 42001 provides an organization wide AI management system. These frameworks provide many of the pieces, but connected workflows still need each consequential system to enforce the authority attached to the task and transaction.
Talking Point
The Australian incident shows what changes when software can keep working after one route is blocked. In financial services, agent identity is only the start. Authority has to hold across the credential, tool, API, third party and final transaction, even when the agent finds another way to continue the task.
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