Economy June 10, 2026 04:12 AM

Global regulators press for tighter limits on agentic AI in finance

Financial Stability Board urges boards to set boundaries and safeguards as firms accelerate use of autonomous AI systems

By Marcus Reed
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The Financial Stability Board warned that increasingly autonomous “agentic” AI systems could amplify risks across the financial system and urged corporate boards to adopt safeguards. The FSB outlined non-binding sound practices that include clear use boundaries, human approval for high-risk actions and treating advanced AI agents as 'synthetic employees.' The guidelines are open for comment until July 22.

Global regulators press for tighter limits on agentic AI in finance
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Key Points

  • The Financial Stability Board "strongly" encouraged company boards to implement safeguards for AI, especially agentic systems that can act with limited human oversight - impacts governance and compliance in financial firms.
  • Agentic AI is already used in fraud detection, customer service and back-office roles, with 52% of surveyed financial firms reporting active adoption; 23% are scaling or transforming, 29% are piloting - impacts operations and technology spending.
  • The FSB proposed non-binding "sound practices" including clear use boundaries, human approval for high-risk actions above set thresholds, and adapting HR controls to treat advanced AI agents as "synthetic employees" - impacts risk, compliance and HR functions.

LONDON, June 10 - Global financial regulators are urging firms to tighten controls around rapidly advancing forms of artificial intelligence, saying systems that can plan, reason and carry out tasks with limited human oversight may heighten risks to the financial system as adoption quickens.

In a report published on Wednesday, the Financial Stability Board (FSB) said it "strongly" encouraged company boards to consider safeguards to address risks stemming from AI, notably those posed by so-called agentic AI - systems able to operate with a degree of autonomy.


Adoption and current uses

The report noted that agentic AI is already in operational use at financial firms for functions such as fraud detection, customer service and back-office processes. Drawing on survey data from the Cambridge Centre for Alternative Finance, the FSB highlighted that 52% of respondents in the financial sector reported active adoption of agentic AI. Of those, 23% said they were scaling or transforming operations with agentic technology while 29% reported they were piloting agentic functions.


Regulatory concerns and recent warnings

Regulators and international standard-setting bodies have increased public warnings about the risks tied to the rollout of AI across the financial industry. The FSB said the autonomous nature of these technologies can create risks that can "materialise at great speed," listing potential outcomes including unauthorised or illegal actions, data breaches and disruption to systems connected to AI deployments.

"AI agents pose a distinct challenge for human oversight," the report said, warning that they could pursue actions that stray from firms' intentions without staff being aware or able to intervene quickly.


Proposed good practices

To mitigate these concerns, the FSB set out a series of proposed "sound practices." The guidance is non-binding and asks firms to define clear boundaries for AI use and to embed safeguards into deployment. Among the recommendations are limits on the actions AI agents are permitted to take and requirements that humans approve high-risk activities - for example, financial transactions that exceed defined thresholds.

The report also suggested that firms consider adjusting human resources controls and processes to account for advanced AI agents, recommending that some organisations treat them in a manner similar to "synthetic employees." The FSB has opened the draft guidelines for public feedback until July 22.


Implications for industry

The FSB's report frames agentic AI as a technology offering operational benefits while carrying potential systemic and cybersecurity risks. It places responsibility on corporate governance - particularly boards - to ensure that autonomous AI deployments come with appropriate oversight, boundaries and human checks.

Risks

  • Autonomous AI could produce unauthorised or illegal actions that firms may not detect or be able to stop quickly - risk to operational integrity and legal/compliance exposure in banks and financial services.
  • Agentic systems raise the possibility of data breaches and disruption to connected systems, posing cybersecurity and systemic stability risks for the financial sector.
  • AI agents present distinct challenges for human oversight and control, potentially undermining firms' ability to intervene when actions diverge from intended outcomes - risk to governance and operational resilience.

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