Travtus Trust Center
We are committed to Data Security.
We are committed to being a leading example in responsible innovation and security.
Your data is never used for training
We support single-sign-on (SSO) & Role-based access control (RBAC) to provide secure authentication
All data is protected with end-to-end encryption, in transit and at rest
We are SOC2 Type II Compliant
At Travtus, we know how much security, privacy and accessibility matters to our customers and stakeholders. Travtus maintains SOC2 reports for System and Organization Controls Relevant to Security.
See Detail of Measures & Controls →
We are aligned with AWS Well architected principles
As an AWS Partner, we architect all of our solutions in line with the AWS Well architected principles, including regular reviews.

We regularly run Data Security Measures
Frequently asked questions
Is AI for property management secure and enterprise-ready?
Built properly, yes. Travtus is SOC 2 Type II certified, runs role-based and property-level permissioning, keeps a full audit trail, and carries governance in every feature rather than bolting it onto each tool — which is what makes AI deployable across an enterprise portfolio rather than fenced into a pilot.
Is our data used to train AI models?
No. Your data is never used to train models and is never shared. It stays yours — including the workflows, scores and reports your teams build on it.
How is access controlled across a portfolio?
Role-based permissions and property-level scoping control who can see and do what across every data source, and every action is auditable. The wrong person seeing the wrong asset's data is a real risk in housing, and it's designed against at the platform level.
Why does consolidating AI tools improve security?
Every additional AI vendor is another security review, another data-processing agreement and another surface touching resident data. One governed platform means one review, one audit surface and one place to control what AI can do.
Security you can build an enterprise on
Your data is never used to train models and is never shared.