what vessel data should be excluded from external AI pilots?

External AI pilots that use a maritime AI external data processing boundary should exclude sensitive, security-critical, and privacy-regulated vessel data until you can prove where it goes, how it is protected, and what vessel record transfer scope is actually processed by the vendor AI data destination. Excluding the right categories reduces risk exposure while keeping the pilot useful for AI readiness and maritime ERP governance.

How Vessel Data Is Applied

Crew identity and personal data: exclude full names, dates of birth, passport/ID numbers, biometric identifiers, and contact details, plus any medical or disciplinary records that could be treated as special category data.
Security and access control data: exclude credentials, authentication artifacts, key material, VPN or SSO configuration secrets, network topology diagrams, firewall rules, and any logs that reveal internal security posture.
Safety and incident evidence with identifying details: exclude CCTV, voice recordings, detailed witness statements, and incident reports that contain personal identifiers or security-sensitive operational context.
Shipboard system configuration and integration secrets: exclude API keys, tokens, service account details, and configuration exports that include endpoints, credentials, or internal identifiers used for third party processing review.
Regulated or confidential commercial information: exclude charter party terms, pricing, bank details, and non-public contract attachments when the pilot cannot guarantee strict confidentiality controls and retention limits.

Operational Impact

Reduces cyber and privacy exposure for CIOs and IT Managers by preventing accidental disclosure of credentials, identity data, and security telemetry during external processing.
Improves audit readiness by limiting what must be tracked under data lineage and access controls, making approvals and corrective actions easier when the pilot expands.
Protects operational continuity for technical and business owners by avoiding leakage of system configuration details that could enable targeted attacks or disrupt integrations.

Important to know: For a pilot, start with a minimal dataset that supports the intended AI use case (for example, aggregated maintenance events without identifiers), and only broaden the vessel record transfer scope after you confirm contractual data handling, encryption in transit and at rest, retention and deletion behavior, and a documented third party processing review for every external processor involved.