Built for teams who get audited.
Financial intelligence requires strict cryptographic boundaries. FInAI enforces least privilege, tenant-isolated memory, and administrative control over model access.
Security & trust
Built for teams who get audited.
Finance data demands finance-grade controls. FInAI is designed around least privilege, full traceability, and admin governance — the defaults your security review will ask about.
Compliance artifacts and security documentation are available on request during procurement.
Encrypted, always
Data is encrypted in transit and at rest across the workspace.
SSO & role-based access
SAML SSO, SCIM provisioning, and granular roles per team and template.
Your data, your models' boundaries
Workspace data is not used to train third-party models under FInAI's enterprise configuration.
Full audit logs
Who ran what, with which model, on which files — exportable for audit.
Model-level governance
Admins approve which AI models and providers are allowed for which workflows.
Residency options
Choose where your workspace data is stored to meet internal policy.
Audit-Ready Infrastructure
Four Immutable Commitments to Your CFO & CISO
Zero Model Training
Your general ledger, financial statements, and employee salaries are never sent to train AI models under any provider contract.
End-to-End Encryption
All client traffic is protected by TLS 1.3 in transit and AES-256 at rest, with isolated cryptographic key management.
Deterministic Grounding
Every calculation requires formula bridges and source file provenance before publication, eliminating phantom numbers.
Complete Audit Trail
Full session logs record which user queried which line item, with which model, and when — ready for external audit review.
Comparing Financial AI Vendors?
Review how FInAI matches up against Hebbia, AlphaSense, Datarails, and Numeric.