Security and Data Handling

AI Audit Solutions is building around practical, risk-based security controls for audit requests, customer information, business context, future uploads, payment workflows, customer dashboards, and implementation services.

We may use ISO/IEC 27001:2022-aligned thinking, secure development practices, access controls, audit logging, and operational review as reference points. This does not mean certification has been achieved unless explicitly stated.

Security controls will evolve as the platform moves from MVP review pathways into live payment collection, customer dashboards, uploads, report delivery, implementation services, and production operations.

Customer data may include audit answers, business context, website URLs, contact details, system details, uploaded file metadata, support messages, payment status, project notes, and service delivery records.

Data should be collected only for clear audit, service, operational, security, compliance, support, or business purposes. Access should be limited to authorised personnel, approved systems, and appropriate service providers.

Before expanded uploads or customer dashboards are activated, the platform should confirm storage architecture, access rules, retention rules, deletion controls, audit logs, signed URL policy, backup processes, and incident handling responsibilities.

Administrative access should be restricted to authorised users with appropriate roles, authentication, device hygiene, and approval pathways.

Future customer dashboard access should require secure authentication, ownership checks, session controls, audit logging, and clear separation between customer data, admin data, reports, uploads, quotes, and payment records.

Production access, live payment access, database access, file access, API keys, environment variables, and deployment controls should remain approval-gated and limited to authorised operators.

Public file uploads are not active as a general production workflow unless specifically approved and secured. Placeholder or metadata-only upload pathways must not be treated as secure document storage.

Before accepting sensitive documents, the platform should define allowed file types, malware scanning, storage provider controls, encryption approach, signed URL rules, access expiry, retention periods, deletion process, and customer warnings.

Customers should not upload passwords, private keys, seed phrases, unrestricted API keys, production database credentials, payment credentials, privileged legal documents, patient records, or highly sensitive data unless a secure and approved process has been agreed.

Payment systems should remain sandboxed until payment products, webhook handling, customer receipts, refund rules, audit state transitions, and delivery boundaries are fully reviewed and approved.

Payment status must not automatically unlock reports, quote files, uploads, customer dashboards, implementation promises, or delivery workflows unless the relevant approval gates are active.

Card details should be handled by approved payment processors rather than stored directly by AI Audit Solutions unless a separate compliant payment architecture is formally approved.

AI tools, cloud providers, hosting platforms, email systems, analytics services, payment processors, project tools, and development tools may support platform operations and service delivery.

Third-party platforms have their own security models, availability risks, data handling practices, API limits, policy changes, and incident risks. These dependencies should be reviewed before sensitive or production-grade workflows are activated.

Sensitive business data should only be processed through AI or third-party systems where the purpose, provider, data type, risk profile, and customer expectations have been considered.

The platform may use logs, audit events, error records, webhook records, access records, status records, and operational monitoring to support security, debugging, quality control, and dispute handling.

Incident response should include triage, containment, investigation, customer impact review, recovery, record keeping, and notification where required by law or contract.

No system can be guaranteed to prevent every incident. Security should be treated as an ongoing operational practice, not a one-time checklist.

Customers are responsible for maintaining secure accounts, protecting credentials, limiting what they submit, ensuring they are authorised to share data, and reviewing their own legal, privacy, employment, industry, and regulatory requirements.

Customers should maintain independent backups of their own systems and should not rely on AI Audit Solutions as their only copy of critical files, records, credentials, reports, or project materials.

Customers must notify us promptly if they believe unauthorised access, mistaken disclosure, incorrect information, or a security issue has occurred in relation to their audit or project.

Security controls reduce risk but do not eliminate it. We cannot guarantee uninterrupted availability, permanent compatibility, zero vulnerabilities, zero data loss, or complete protection from every threat.

Security recommendations, audit findings, or implementation work are not a substitute for independent cybersecurity certification, penetration testing, legal advice, insurance advice, regulated compliance advice, or specialist security assessment unless expressly agreed in writing.

Where higher assurance is required, customers should request a dedicated security scope, testing plan, implementation plan, or independent review before relying on any system for sensitive production use.