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Trust centre

What Monsoon does, what people decide, how we protect data and what our certifications cover, stated plainly, with the scope of each claim.

Governance and professional oversight

Agents perform configured procedures. People set the scope, review the results and approve them.

  1. PersonConfigureLogged: procedure, population, approver
  2. AgentExecuteLogged: inputs loaded, actions, evidence used
  3. AgentFlagLogged: item, reason, sources
  4. PersonReviewLogged: reviewer conclusion
  5. PersonApproveLogged: approval, name, time
Each step and what is kept from it. Agents never take the last step.

Task boundaries

Agents perform only the procedures configured and approved for an engagement. They do not change scope, resolve exceptions on their own or sign off.

Review requirements

Each output is prepared for review by a named professional and approved before use. Where a decision requires sign-off, the workflow stops until it is given. confirm: accountability gate wording

Exception handling

Items that fail a test, cannot be matched or rely on incomplete data are flagged with the reason and routed to a reviewer.

Evidence retained

Inputs loaded, actions logged, results, reviewer conclusions and approvals, linked to the source records. confirm: retention period

Professional standards

Monsoon is designed to support firms working under the International Standards on Auditing, ISRE 2400 for reviews and the firm's own system of quality management (ISQM 1). confirm: standards to reference and how

Responsibility for compliance with professional standards stays with the firm and its engagement partner.

Certifications, and what they cover

Each certification applies to a management system within a defined scope. None of them certifies an audit opinion, a professional output or legal compliance.

27001

ISO/IEC 27001:2022

Information security management

What it covers

The management system for protecting information in Monsoon's operations, within the certified scope.

What it does not cover

Audit opinions, professional outputs or a guarantee of legal compliance.

Certified entity
confirm
Scope
confirm
Certifying body
confirm: AENOR?
Certificate no.
confirm
Valid
confirm dates
42001

ISO/IEC 42001:2023

AI management system

What it covers

How AI systems in Monsoon are governed: risk assessment, responsibilities, monitoring and controls, within the certified scope.

What it does not cover

The correctness of any individual output; audit opinions.

Certified entity
confirm
Scope
confirm
Certifying body
confirm: AENOR?
Certificate no.
confirm
Valid
confirm dates

Certificates are available on request. confirm Monsoon user certification is operator training for people using the platform; it is separate from these ISO certifications. confirm: logo-use rules before showing certification marks

Data handling

Where engagement data lives, who can reach it, how long it is kept and which parties process it. Arrangements are agreed per client.

Your firmEngagement dataLedgers, statements, documents
Monsoon environmentProcessing and storageRegion confirm · encrypted at rest
Model providerUnderlying AI modelsTerms and processing location confirm
Your firmWorking papers and reportsFor professional review and sign-off
How engagement data moves. The model provider is a separate party, shown with its own terms.

Hosting

confirm: cloud provider and region(s); hybrid and on-premise options and their conditions We do not claim local data residency for every jurisdiction; arrangements are agreed per client.

Access

Access to engagement data is limited to authorised users on a need-to-know basis, with role-based permissions and logging. confirm

Encryption

Data is encrypted in transit and at rest. confirm: standards used

Retention and deletion

confirm: default retention period, deletion on request or contract end, deletion confirmation

Underlying AI providers

confirm: which model providers are used; whether client data is used to train their models ("not used for training" only if contractually assured); data processing locations

Privacy law

Monsoon's controls are designed to support POPIA and GDPR requirements. confirm: documented controls; information officer; DPA available; jurisdiction-specific arrangements

Demonstrations

Demos use prepared or synthetic data. We evaluate Monsoon on a firm's own data only after scope and data arrangements are agreed in writing.

Integrity of outputs

Monsoon records outputs with a cryptographic hash so that any later change can be detected, and keeps the link from each output back to its sources. confirm: technical description

A hash shows

  • Whether an output has changed since it was recorded.

A hash does not show

  • That the output is correct.
  • That it can be reproduced.

Correctness and reproducibility are established through professional review and the documented procedure.

Full-population testing: what it means

For defined procedures on accessible, supported datasets, Monsoon can test the full population. Data that is missing, incomplete or cannot be read is reported. It is not a statement that every risk has been examined.

Evidence receiptSample data

Output
C7 Commission income
Population
6,214 lines
Exceptions
43, all concluded
Sources
6 files linked
Prepared by
Agent
Reviewed by
S. Pillay
Approved by
Engagement partner

Recorded 14:02Hash a3f9…e21Unchanged since review

View sources

Sample data. "Unchanged since review" is what the hash can confirm. Whether the work is right is a reviewer's judgement.

Trust documents

Ask for the documents your security, risk or quality team needs. confirm: which documents exist and can be shared

  • ISO certificatesISO/IEC 27001 and ISO/IEC 42001
  • Information security overviewHow information is protected in Monsoon's operations
  • Data processing agreementTerms for processing client data
  • Technical briefHow the platform works, in more depth
Request trust documents

Security concerns or vulnerability reports: confirm: contact address

Questions about security or oversight?

Request our trust documents or ask our team directly.

Demonstrations use prepared data. No client files needed.