Trust Center

Trust is the foundation, not a feature.

Institutions place their learners in our care. Here is how we protect their data, respect their privacy and hold our AI to the standard education deserves.

Security

Enterprise security as the starting point.

Lantern is engineered with defence in depth, from infrastructure to identity to the AI layer itself.

  • Encryption everywhere

    Data is encrypted in transit with modern TLS and at rest with managed keys.

  • Enterprise identity

    Single sign-on with SAML 2.0 or OpenID Connect, SCIM provisioning and role-based access control.

  • Tenant isolation

    Every institution’s data is logically isolated, with access enforced at the service and data layers.

  • Complete audit trail

    Administrative actions and AI interactions are logged and available to authorised administrators.

Privacy

Learner privacy is not negotiable.

We treat student and employee data with the care that education demands, and we design for the privacy regulations institutions operate under.

  • Never used to train shared models

    Learner data is used only to deliver the service to your institution.

  • Data minimisation

    We collect only what is needed to teach well, and institutions control retention and deletion.

  • Regional data residency

    Deployment options designed for institutions with regional data requirements.

  • Built for education law

    Designed to support institutions in meeting obligations such as FERPA, COPPA and GDPR.

Responsible AI

AI that earns its place in the classroom.

Our models and policies are designed with educators, evaluated continuously and always accountable to the people they serve.

  • Grounded responses

    The tutor draws on institution-approved sources and shows where its guidance comes from.

  • Configurable guardrails

    Institutions define scope, tone, answer disclosure and escalation rules.

  • Human in the loop

    Educators review generated content before learners see it, and can step into any conversation.

  • Continuous evaluation

    Quality, safety and fairness are measured on an ongoing basis, not once at launch.

Responsible disclosure

If you believe you have found a security vulnerability in any Root Lantern service, please tell us. We investigate every report and will work with you to resolve it quickly.

security@rootlantern.com

Need our security documentation?

Our team can share architecture overviews, policies and completed questionnaires as part of your procurement review.