SECURITY AT ATEASEAI

Understand how your customer context is handled.

Review the approach to cloud infrastructure, access, connected systems, and AI processing before bringing customer information into your workspace.

Customer workspace

Data protection Access controls Secure connections Tenant separation
Data, identity, and access controls

CURRENT ASSURANCE STATUS

Clear about where we stand.

atEaseAI is an early-stage product. We do not currently hold a SOC 2 report or ISO certification. Privacy documentation describes our approach; it is not an independent compliance assessment.

Descriptions of product controls are not independent assurance. Discuss your requirements and request current documentation from our team before connecting customer data.

HOW WE APPROACH PROTECTION

Controls across the workspace.

Review how access, customer data, and connected systems are handled. Bring your requirements to a technical conversation before connecting your workspace.

Data protection

Encryption in transit and at rest helps protect workspace data.

Cloud infrastructure

atEaseAI runs on Microsoft Azure. Azure services support application data protection and credential storage.

Access control

Role-based and organization-level access controls help scope what users are authorized to access.

Connected systems

Supported integrations use authentication and permissions appropriate to the connection.

TENANT ISOLATION

Customer workspaces are logically separated.

Customer data is accessed in the context of the organization it belongs to, with organization-scoped queries and role-based controls.

Organization A
Users & roles
Customer context
Workflows & insights

Organization-scoped access

Organization B
Users & roles
Customer context
Workflows & insights

Organization-scoped access

Organization C
Users & roles
Customer context
Workflows & insights

Organization-scoped access

AI AND CUSTOMER DATA

AI processing supports
your workspace experience.

Your customer data is not used by atEaseAI to train general-purpose AI models. AI processing supports the relevant features in your workspace.

Review generated outputs and configure workflows appropriately. Ask the technical team about the providers, processing locations, and controls relevant to your evaluation.

Review the Privacy Policy

Customer context

Relevant AI-assisted feature

Workspace output for your team to review

THE SECURITY FOUNDATION

Details for your evaluation.

Use the current documentation and a technical conversation to assess the requirements relevant to your organization.

Infrastructure

Microsoft Azure

Authentication

Email/password and Google or Microsoft sign-in methods

Authorization

Role-based and organization-scoped controls

Credentials

Encrypted credentials and Azure Key Vault

Backups

Automated database backups and storage protection

Data handling

See the Privacy Policy and DPA for the current processing and retention descriptions

TAKE A CLOSER LOOK

Bring your security questions
to a technical conversation.

Discuss the infrastructure, access controls, providers, or documentation your team needs to evaluate.

30 days · Up to 50 customer accounts · No credit card required

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