Narrative · ▲ at peak

Regulator demands evidence instead of new rules

All narratives · 21 supporting stories · 4 from Hungary

„Financial regulators mostly do not create new AI-specific legislation. They request evidence of operational AI governance from companies through supervisory expectations, examination frameworks, and stricter enforcement of existing rules.”

Counter-narrative

Analyses indicate that agentic AI is going live in banks faster than supervisory guidance can keep up. The Bank of England says AI assurance practices are incomplete. By contrast, the EU AI Act follows a mandatory, risk-based, AI-specific logic.

Carriers

FSB, FCA, MAS, OCC and US state regulators (CSBS), MNB, OECD

Analysis

The narrative suggests the regulatory focus is shifting from rule-making to investigation and evidence. A Hungarian analysis states that the first stocktake will measure the gap between documented and actual AI operations. The direction is driven by a series of specific supervisory documents from Singapore to London and Washington. SEC investigations, the CSBS and OCC framework, and MAS expectations all test institutions' AI governance. This gives supervisors flexibility and aligns with big-bank demands: Dimon called for "light touch" AI supervision. A weakness is that, according to the FCA's own findings, AI governance has lagged behind deployment, and firms overestimate model accuracy. Thus the implementation of the principles-based framework is unproven, and the Bank of England also sees AI assurance practices as incomplete. In the EU the model is dual: alongside principles-based supervision, an analysis states that the AI Act classifies AI systems used for credit scoring as high-risk.

Evidence: strong — It is built on a series of documented supervisory documents: the FSB report, OECD report, MAS expectations, CSBS and OCC frameworks, FCA findings and MNB Recommendation 13/2025. Statements by executives (Dimon, Malhotra, Payne) are only supplementary.

What's at stake: Can regulators keep pace with agentic AI going live using only principle-based frameworks?

Narrative sub-threads

The narrative splits into 4 branches; a story may belong to several branches, and some may not appear in the main narrative's list.

↗ rising · evidence: strong

US investigative frameworks and accountability

In the absence of federal AI regulation, US agencies monitor corporate AI governance through investigations, investigation guidelines, supervisory frameworks, and requests for reports on AI use.

The mechanism here is regulatory examination. The SEC, state banking regulators, and OCC examiners ask questions. The CSBS provides the framework, while the Fed, OCC, and FDIC jointly updated model risk guidance (SR 26-2). Companies are preparing for these examinations.

10 stories · 0 of them Hungarian ▲ at peak · evidence: strong

UK oversight: practices, not rules

British regulators do not intend to introduce AI-specific regulations. They assess companies' AI governance by publishing good and bad practices, issuing joint reports, and exposing assurance gaps.

In this sector, the primary tool is not individual investigation procedures. The FCA and the Bank of England set standards through public findings and examples. The FCA states that AI governance has lagged behind deployment.

8 stories · 0 of them Hungarian → lasting · evidence: strong

Principle-based expectations and best practices

International bodies, as well as Asian and Canadian regulators, issue supervisory expectations, best practices, and frameworks for AI. These require human oversight and institutional accountability.

The evidence consists of published expectation documents: the FSB's 12 good practices, MAS expectations and SAFR, the HKMA ART framework and identity verification required for AI agents, the OSFI-supported FSB guidance, and AMF guidelines. This includes the OECD report. These are not individual investigations nor national strategy readings.

9 stories · 0 of them Hungarian → lasting · evidence: moderate

National Bank of Hungary (MNB): recommendation and review of AI sub-strategies

The MNB Recommendation 13/2025 also covers AI; the central bank is reviewing banks' AI strategies, examining their risk and human aspects. One analysis suggests the first balance sheet will measure the gap between documented and actual AI operations.

This covers the Hungarian and regional sector. The mechanism involves applying existing supervisory recommendations and reviewing strategic documents, alongside the planned bank algorithm audits by Romania's BNR and ASF under the EU AI Act.

6 stories · 6 of them Hungarian

Sub-thread stories

US investigative frameworks and accountability

Carriers: SEC, CSBS and state banking supervisors, OCC, Fed

Aug 7, 2026SEC AI checks put financial firms' governance under scrutinychief financial officerThe use of AI in advisory and investment processes should be documented.Aug 24, 2026Five AI steps to take before the SEC examiner knockschief financial officerAI-related claims in public disclosures should be verifiable.Sep 14, 2026Agentic AI in banking: six weeks after the EU AI Act, a US model risk update, SR 26-2banking professionalThe model risk classification of agentic AI should be aligned with regulatory expectations.Sep 16, 2026US state bank examiners get a playbook for inspecting AIbanking professionalBanks under state supervision should keep an AI-use inventory and risk-management documentation ready.Sep 21, 2026AI supervision frameworks: US state regulators, CFTC forum, Bank of England deputy governor's warningbanking professionalHuman oversight of autonomous AI systems needs to be built into documentable processes.Sep 28, 2026CSBS announces AI supervisory framework for state-chartered banks and nonbank institutionsbanking professionalState-chartered banks need to assess whether their AI use meets the new supervisory expectations.fintech companyBecause the framework also covers nonbank institutions, AI use will have to be documented.Oct 13, 2026Bank regulators in the US and Europe tighten scrutiny of AI risksbanking professionalCompile an inventory of AI use, including components of Chinese origin, and have a documented shutdown mechanism for every autonomous agent.chief financial officerExpect stricter supervisory scrutiny of substitution and outsourcing risks in AI systems.Oct 23, 2026US regulators expect banks to account for AI use; SEC to focus on AI in examsbanking professionalDocumentation on AI system vendors and security should be put in order.Oct 28, 2026Agentic AI is reaching production in banks faster than supervisory guidance can keep upbanking professionalGuardrails and supervisory expectations should be built into deployments from the design stage.Nov 4, 2026OCC's first supervisory guidance on bank AI use rates simple payment agents as high riskbanking professionalInventories, risk classifications and control documentation for AI systems should be prepared for examinations, especially for agents that make payments.fintech companyFintech firms working with banks can expect stricter AI-control questions from partner banks.

UK oversight: practices, not rules

Carriers: FCA, Bank of England

Sep 30, 2026UK financial regulators don't want AI-specific rules; FCA sees a leading role for UK in financebanking professionalExisting regulation applies to AI use, without a separate AI law.fintech companyThe favourable regulatory stance may count in favour of UK financial AI development.Oct 5, 2026FCA publishes good and poor practice on AI; Mills Review examines future of retail financefintech companyAI Live Testing and the sandbox offer a way to trial AI products in a supervised environment.Oct 14, 2026FCA to automate supervision with AI, with no new rules for chatbotsbanking professionalCompliance is judged under existing rules rather than new chatbot rules, so it is worth documenting internal controls.fintech companyAI Live Testing remains a way to trial AI products.Oct 19, 2026FCA sets out good and poor AI practice; firms overestimate model accuracybanking professionalClaims about model accuracy must be backed by documented testing.chief financial officerThe governance framework for AI deployments must be settled before go-live, not afterwards.fintech companyFirms must demonstrate that customer interests come first in new AI features.Oct 26, 2026Bank of England and FCA publish joint report on AI in UK financial servicesbanking professionalWhen adopting agentic AI, documenting vendor dependence and governance may become an expectation.Oct 26, 2026FCA builds agentic finance rules without introducing AI-specific regulationbanking professionalTesting and quality-assurance procedures for agentic systems need to be tightened.fintech companyAI that produces financial content needs clear warnings and liability frameworks.Nov 2, 2026Bank of England says AI assurance practices have gapsbanking professionalThe validation and verification of AI models is not yet mature enough, so an internal testing framework needs to be built.Nov 2, 2026FCA sets out good and poor practice for AI use in financial servicesbanking professionalAI use in financial crime prevention should be checked for the shortcomings the FCA has flagged.

Principle-based expectations and best practices

Carriers: FSB, MAS, HKMA, OSFI and AMF

Aug 17, 2026Singapore: MAS SAFR runtime governance standard for agentic AI and a new AI taskforce for cyber resiliencebanking professionalLive oversight of agentic systems (logging, interruption) should be built in from the start.Aug 19, 2026Bank Negara Malaysia links AI governance to its 2027–2030 blueprint Aug 31, 2026MAS and industry publish SAFR framework for runtime safeguards on AI agents in financebanking professionalThe SAFR control set can be a starting point for building runtime protection for agent systems.Sep 19, 2026OECD says supervising AI in finance depends on stricter enforcement of existing rules Oct 7, 2026Singapore's MAS issues risk management guidelines on banks' use of AIbanking professionalInventory, oversight and ownership of AI models require an internal process.Oct 15, 2026FSB's final report sets out 12 sound practices for responsible AI adoptionbanking professionalCompare the human-oversight points in your agentic AI processes against the 12 practices.insurerThe practices are also worth using as a reference when deploying AI agents in insurance processes.Oct 19, 2026HKMA launches "ART" framework for responsible AI adoption in banking; banks test deepfake detectionbanking professionalThe framework for responsible AI adoption can serve as a reference for internal governance.Oct 26, 2026Canada's OSFI endorses FSB AI guidance while Quebec's AMF issues guideline on AI use by financial institutions Nov 3, 2026Hong Kong becomes first banking regulator to require identity credentials for AI agentsbanking professionalThe agent's identifier must be recorded in the onboarding and risk-management process.

National Bank of Hungary (MNB): recommendation and review of AI sub-strategies

Carriers: MNB, Norbert Izer (MNB), BNR and ASF

Aug 5, 2026Romania's BNR and ASF to audit bank algorithms under EU AI Actbanking professionalRegional subsidiaries should prepare to document their algorithms and make them auditable.Aug 13, 2026Hungarian analysis: MNB Recommendation 13/2025 and the AI Act shape AI practice in financebanking professionalThe requirements of the MNB recommendation must also be enforced in supplier and partner contracts.fintech companyAs a bank partner, expect banks to pass on the recommendation's requirements.Aug 27, 2026Hungary's MNB reviews banks' AI sub-strategies as supervisors ask for evidence of AI operationsbanking professionalDocumented consistency must be established between the AI sub-strategy and actual operations.Sep 1, 2026MNB recommendation and credit scoring: high-risk AI systems at Hungarian banksbanking professionalThe use of AI in credit-scoring models must be reviewed under the new MNB recommendation and the EU high-risk classification.Sep 7, 2026Central bank makes AI a strategic priority; AI governance is the sector's taskbanking professionalFor AI in credit assessment, systems should be designed around the MNB's expectations and explainability.Oct 26, 2026Hungary's central bank examines AI strategies at banks: plenty of risk, few peoplebanking professionalAn AI strategy should also document the level of expertise and human oversight.

Google search interest

Hungary

Topic and search term	Weekly	Average
Regulator demands evidence instead of new rulesAI regulation	no measurable search	0
US investigative frameworks and accountabilitySEC investigation	no measurable search	0
UK oversight: practices, not rulesfinancial supervision		1.6
Principle-based expectations and best practicesAI governance		0.7
National Bank of Hungary (MNB): recommendation and review of AI sub-strategiesMNB recommendation		1

World

Topic and search term	Weekly	Average
Regulator demands evidence instead of new rulesai regulation		12.2
US investigative frameworks and accountabilitysec investigation		1
UK oversight: practices, not rulesfca regulation		0.4
Principle-based expectations and best practicesai governance		16.9
National Bank of Hungary (MNB): recommendation and review of AI sub-strategiescentral bank guidance		0.5

Google Trends relative search index over the period studied, weekly average. A narrative and its sub-threads appear in a single comparison: 100 is the group's most-searched day, and the figures can only be compared within the group. The search term was chosen by machine analysis; it measures how much the term is searched, not how widespread the narrative is.

Who is affected and how

banking professional: The Magyar Nemzeti Bank (MNB, the central bank of Hungary) is examining banks' AI sub-strategies and will measure the gap between documented and actual AI operations. It is advisable to build a verifiable governance trail for every live AI system.
insurer: The stories do not directly address insurers' use of AI. MAS requirements apply to all financial institutions and all AI technologies, while the Bank of England generally views AI insurance practices as inadequate.

Hungary

MNB Recommendation 13/2025 (XII. 3.) replaced the 4/2021 digital transformation recommendation and addresses AI. One analysis suggests that, together with the AI Act, it places Hungarian banks' AI-based credit assessment systems in the high-risk category. The MNB Deputy Governor said the central bank has made AI a strategic priority. The supervisory authority is examining banks' AI sub-strategies. Izer Norbert presented what the supervisor looks for in AI strategies; according to the article, these contain many risks and few people.

Aug 27, 2026Hungary's MNB reviews banks' AI sub-strategies as supervisors ask for evidence of AI operationsbanking professionalDocumented consistency must be established between the AI sub-strategy and actual operations.Sep 1, 2026MNB recommendation and credit scoring: high-risk AI systems at Hungarian banksbanking professionalThe use of AI in credit-scoring models must be reviewed under the new MNB recommendation and the EU high-risk classification.Sep 7, 2026Central bank makes AI a strategic priority; AI governance is the sector's taskbanking professionalFor AI in credit assessment, systems should be designed around the MNB's expectations and explainability.Oct 26, 2026Hungary's central bank examines AI strategies at banks: plenty of risk, few peoplebanking professionalAn AI strategy should also document the level of expertise and human oversight.

Weekly trend

Supporting stories per week

Turning points

Sep 19, 2026OECD says supervising AI in finance depends on stricter enforcement of existing rulesAccording to the OECD report, financial AI supervision relies more on stricter enforcement of existing rules than on new regulations.Oct 15, 2026FSB's final report sets out 12 sound practices for responsible AI adoptionThe FSB's final report of October 15 recorded 12 best practices for responsible financial use of AI. According to Reuters, the body calls for stricter human oversight for autonomous (agentic) AI.Nov 4, 2026OCC's first supervisory guidance on bank AI use rates simple payment agents as high riskThe OCC issued its first supervisory framework on how examiners should evaluate banks' AI systems. The framework classifies simple payment agents as high risk.

Related narratives in the News magazine

Washington: self-regulation instead of binding legislation Brussels exports its AI rules

Supporting stories

Aug 7, 2026SEC AI checks put financial firms' governance under scrutinychief financial officerThe use of AI in advisory and investment processes should be documented.Aug 11, 2026RBI governor urges banks to speed up AI investment while keeping meaningful human oversightbanking professionalAI decisions need human review wherever an error could significantly harm customers or stability.chief financial officerAI investment plans should include skills development and the cost of controls.Aug 24, 2026Five AI steps to take before the SEC examiner knockschief financial officerAI-related claims in public disclosures should be verifiable.Aug 27, 2026Hungary's MNB reviews banks' AI sub-strategies as supervisors ask for evidence of AI operationsbanking professionalDocumented consistency must be established between the AI sub-strategy and actual operations.Aug 31, 2026MAS and industry publish SAFR framework for runtime safeguards on AI agents in financebanking professionalThe SAFR control set can be a starting point for building runtime protection for agent systems.Sep 1, 2026MNB recommendation and credit scoring: high-risk AI systems at Hungarian banksbanking professionalThe use of AI in credit-scoring models must be reviewed under the new MNB recommendation and the EU high-risk classification.Sep 7, 2026Central bank makes AI a strategic priority; AI governance is the sector's taskbanking professionalFor AI in credit assessment, systems should be designed around the MNB's expectations and explainability.Sep 14, 2026Dimon: AI oversight should be light touch; banks fix their own vulnerabilitiesbanking professionalVulnerability management and patching must speed up because AI-based flaw detection finds problems faster.Sep 16, 2026US state bank examiners get a playbook for inspecting AIbanking professionalBanks under state supervision should keep an AI-use inventory and risk-management documentation ready.Sep 19, 2026OECD says supervising AI in finance depends on stricter enforcement of existing rules Sep 28, 2026CSBS announces AI supervisory framework for state-chartered banks and nonbank institutionsbanking professionalState-chartered banks need to assess whether their AI use meets the new supervisory expectations.fintech companyBecause the framework also covers nonbank institutions, AI use will have to be documented.Sep 30, 2026UK financial regulators don't want AI-specific rules; FCA sees a leading role for UK in financebanking professionalExisting regulation applies to AI use, without a separate AI law.fintech companyThe favourable regulatory stance may count in favour of UK financial AI development.Oct 7, 2026Singapore's MAS issues risk management guidelines on banks' use of AIbanking professionalInventory, oversight and ownership of AI models require an internal process.Oct 14, 2026FCA to automate supervision with AI, with no new rules for chatbotsbanking professionalCompliance is judged under existing rules rather than new chatbot rules, so it is worth documenting internal controls.fintech companyAI Live Testing remains a way to trial AI products.Oct 15, 2026FSB's final report sets out 12 sound practices for responsible AI adoptionbanking professionalCompare the human-oversight points in your agentic AI processes against the 12 practices.insurerThe practices are also worth using as a reference when deploying AI agents in insurance processes.Oct 19, 2026FCA sets out good and poor AI practice; firms overestimate model accuracybanking professionalClaims about model accuracy must be backed by documented testing.chief financial officerThe governance framework for AI deployments must be settled before go-live, not afterwards.fintech companyFirms must demonstrate that customer interests come first in new AI features.Oct 26, 2026FCA builds agentic finance rules without introducing AI-specific regulationbanking professionalTesting and quality-assurance procedures for agentic systems need to be tightened.fintech companyAI that produces financial content needs clear warnings and liability frameworks.Oct 26, 2026Hungary's central bank examines AI strategies at banks: plenty of risk, few peoplebanking professionalAn AI strategy should also document the level of expertise and human oversight.Oct 28, 2026Agentic AI is reaching production in banks faster than supervisory guidance can keep upbanking professionalGuardrails and supervisory expectations should be built into deployments from the design stage.Nov 2, 2026Bank of England says AI assurance practices have gapsbanking professionalThe validation and verification of AI models is not yet mature enough, so an internal testing framework needs to be built.Nov 4, 2026OCC's first supervisory guidance on bank AI use rates simple payment agents as high riskbanking professionalInventories, risk classifications and control documentation for AI systems should be prepared for examinations, especially for agents that make payments.fintech companyFintech firms working with banks can expect stricter AI-control questions from partner banks.

Machine analysis based on story titles and summaries, with a verification pass. The source of the facts is the article linked at each story.