Data retention
Set how long conversations, memory, and workspace material stay in Senra. Retention is scoped to your workspace, not buried in opaque defaults.
Security
Always on. Always secure.
From encryption to access management, Senra enforces rigorous standards so your operational data stays secure, private, and under your control.

Customer data is encrypted in transit and at rest. Access inside the product follows least privilege.
Talk to our team about how Senra handles encryption, access, retention, and subprocessors for your workspace.
We do not use your inputs, outputs, or connected workspace context to train models for anyone else.
Workspace context stays scoped to authorized members. Security-relevant actions are logged end to end.
You choose what to connect, who is invited, and how long material is retained. Revoke access anytime.
Senra is CASA Tier 2 certified through the App Defense Alliance. SOC 2 Type II is underway.
Senra runs on modern cloud infrastructure with encryption throughout. Subprocessors are listed publicly.
You stay in control of authentication, access, and connected tools. Business plans include SSO so your team signs in through the identity provider you already run, while workspace context remains limited to the people who should see it.
Your data. Your decisions.
Set how long conversations, memory, and workspace material stay in Senra. Retention is scoped to your workspace, not buried in opaque defaults.
Invite the right people, limit who sees connected context, and keep an audit trail of security-relevant actions across the workspace.
Data is encrypted in transit and at rest. Access controls and least privilege keep operational data protected as it moves through the product.
Sign-in is protected by modern auth, with SSO available on Business so your team authenticates through your existing identity provider.
Customer data is the content you and your team put into Senra: messages, connected workspace context, files, and the work Senra produces for you. That material belongs to your workspace. We do not train models on it, and we only process it to run the product.