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BIS

BIS

Low Impact

BIS Paper No 173: Trusted Execution Environments for Central Banks

Published

Sep 25, 2026

Topics

Trusted execution environments, Confidential computing, Remote attestation, Central bank data collaboration, Supervisory analytics, AML/CFT compliance, Digital asset wallets, Cyber resilience

Executive Summary

The Bank for International Settlements has published BIS Papers No 173, a research paper on trusted execution environments for central banks. The paper is not a rulemaking, standard or supervisory requirement, and it does not introduce filing obligations, effective dates or mandatory technical controls. Its importance is strategic: it sets out how hardware-backed confidential computing could help central banks and regulated institutions analyse sensitive data while limiting access to plaintext information. The paper explains core assurances, including code authenticity, runtime integrity, confidentiality of data in use and remote attestation, while emphasising that these controls are conditional and must be supported by governance, auditability and disciplined engineering. For firms, the near-term impact is mainly on technology strategy, cloud risk assessment, digital asset key management, data collaboration pilots and procurement. Institutions involved in supervisory analytics, payment systems, fraud detection or confidential data-sharing should treat the paper as an authoritative reference for future engagement with central banks, not as a binding compliance change.

What Changed

newBIS publishes dedicated TEE analysis for central banks

New

BIS Paper No 173 sets out a non-binding analytical framework for evaluating TEEs in central bank and regulated-sector contexts.

newConfidential computing model framed around attestation

New

Remote attestation, allow lists, policy binding and mTLS are presented as key mechanisms for releasing secrets only to approved measured states.

newCentral bank use cases identified

New

Use cases include official statistics collaboration, systemic stress testing, fraud detection, financial compliance checks, digital asset wallets and cyber resilience.

newTechnology limitations expressly highlighted

New

TEE adoption is presented as conditional on layered controls, evidence-based governance, audit logs, revocation, secure builds and output controls.

newProcurement and governance guardrails outlined

New

Procurement should address attestation evidence, trust anchors, software hashes, firmware minima, revocation, SBOMs, signed builds, output rules and audit artefacts.

Business Impact

Who is affected

Directly affected

central banks, supervisory authorities, official statistics functions, payment system operators and public-sector technology teams evaluating confidential computing.

Indirectly affected

regulated financial institutions, payment service providers, cloud providers, regtech vendors, digital asset infrastructure providers and firms participating in supervisory data-sharing or confidential analytics pilots.

Jurisdictions

Global

Business processes

Confidential data collaboration and analytics, Supervisory technology and regulatory data architecture, Cloud and outsourcing technology risk assessment, Digital asset wallet and key management design, Fraud detection and AML/CFT analytics model governance, Cyber resilience and incident response planning, Technology procurement and vendor due diligence

Estimated effort

Medium

Compliance risk

Low

Affected Reports

No regulatory filing, prudential return or statistical reporting template is amended by this BIS paper.Confidential computing architecture assessment for central bank or supervisory analytics pilots.Remote attestation allow-list and revocation control record.Policy-bound egress and output approval control for confidential analytics.TEE vendor due diligence and procurement control checklist.
FieldValidation rule

Recommended Actions

7 suggested next steps· derived from source analysis
  1. 1
    AI generatedStep 1 of 7

    classify this as non-binding regulatory intelligence, but brief technology risk, data, compliance and digital asset teams on its relevance to future central bank pilots.

  2. 2
    AI generatedStep 2 of 7

    inventory existing or planned use cases involving confidential analytics, cross-institution data-sharing, digital asset signing keys, fraud detection, AML/CFT screening or sensitive cloud workloads.

  3. 3
    AI generatedStep 3 of 7

    where TEEs are being piloted, document the attestation model, approved software hashes, firmware requirements, trust anchors, key-release conditions and revocation process.

  4. 4
    AI generatedStep 4 of 7

    ensure confidential computing pilots include output governance, such as approved output types, suppression rules, rate limits, query budgets and audit logs, rather than focusing only on memory protection.

  5. 5
    AI generatedStep 5 of 7

    update vendor due diligence questions to cover TEE evidence formats, attestation service dependencies, SBOMs, signed builds, reproducible builds, incident notification and portability.

  6. 6
    AI generatedStep 6 of 7

    avoid treating TEEs as a substitute for legal data-sharing authority, privacy assessment, model validation, HSM controls, access management or cyber resilience controls.

  7. 7
    AI generatedStep 7 of 7

    monitor BIS and relevant central bank publications for any later consultation, pilot or supervisory guidance that converts these concepts into formal expectations.

Timeline

publication

Sep 1, 2026

BIS published BIS Papers No 173, 'Trusted execution environments for central banks'.

Sources

AI-generated analysis is based on the following primary sources. Always verify against the official publication.

Related Evidence

Verified source support for this analysis

The evidence agent checks whether the drafted finding is supported by official publications and relevant public source material.

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