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SecurityReviewed with you, under agreement

Security for sensitive AI data operations.

AI data work concentrates exactly the material an organization is most careful with: source data, model outputs, expert judgement, and the record of who touched any of it. Largwit is designed around controlled access, customer isolation, operational auditability, private data handling, and production resilience.

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Designed around
Access
Controlled, by role and project
Isolation
Customer environments kept apart
Auditability
Significant actions recorded
Data
Handled to your requirements
Resilience
Monitored, backed up, exercised
01How the platform is designed

Nine things a security review asks about.

Answered here at the level a public page should answer them. The mechanisms behind each are described privately, under an agreement, to the people whose job it is to check them.

Data handlingProject data and media are served through authorized access. Handling can be governed to organizational requirements.
Customer isolationCustomer environments and access boundaries are designed to remain logically separated.
IdentityAccounts are managed centrally, with multi-factor authentication available and enforceable for an organization.
Access controlWhat a person can see and do follows the role they hold and the projects they participate in.
AuditabilitySignificant actions and operational events are recorded so activity can be traced.
RetentionControlled retention and deletion requirements are supported.
MonitoringPlatform health and operational conditions are monitored continuously.
RecoveryBackup and recovery practices are maintained and exercised against production.
DeploymentDeployment model, residency and access requirements are addressed as part of an enterprise engagement.
SENSITIVE OPERATIONScontrolled access · isolation · auditability · private handling · resilience
02Diligence

Detailed material is provided privately.

A public page is the wrong place for an architecture diagram. Detailed security documentation, control descriptions, deployment specifics and diligence responses are provided directly during enterprise procurement, under the appropriate agreement.

If your security team has a questionnaire, send it. It is answered by the people who built the platform.

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Security overviewProvided on request under an agreement.
QuestionnairesAnswered directly during procurement.
Deployment optionsDiscussed as part of an enterprise engagement.
Data processing termsAddressed contractually before any data moves.
Incident expectationsAgreed as part of the engagement rather than assumed.
ArchitectureWalked through with your reviewers, under agreement.
03Start here

Bring us the programme you are about to build.

Largwit is deployed through direct engagement. Tell us what you are running and we will show you the platform against it, rather than against a generic demo.

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