FrontBrain AI is designed around controlled execution: approval gates, Vault-backed secrets, connector scoping, read-before-write, workspace isolation, audit logs, and verification-proof output.
Autonomy is useful. Ungoverned autonomy is how things go sideways.
Risk is classified by action impact. Local artifacts pass freely. Deployments, DNS, firewall, email, billing, production installs, database writes, and power actions can require approval.
A remote write cannot execute until FrontBrain AI has inspected the same target in the same session.
Repeated same-error loops, no-state-change patterns, and platform-gate loops pause execution before wasting time or credits.
Approval can be per call, per campaign, per workspace, or multi-party for high-risk operations.
Every connector touch, tool invocation, approval, output, and verification result is logged.
Tasks do not claim “done” without evidence.
Connector credentials live in Vault and are scoped by user, workspace, and target.
Conversation history, audit logs, artifacts, and connector access are tenant-scoped.
Each client workspace can have separate connectors, users, permissions, and audit exports.
Use your own model keys where supported, keeping usage under your terms, billing, and retention policies.
TLS everywhere. Remote Gateway uses outbound WebSocket-over-TLS.
Platform storage and artifacts use encrypted storage. Private deployments can use customer-controlled storage.
Tenant admins, users, connector scopes, and tool allow-lists.
Google SSO for Business+.
Export by tenant, workspace, user, connector, date range, or task.
A tool targeting a connector the user does not own is rejected.
High-risk requests start in read-only planning mode until approved.
Plans, tool calls, approvals, outputs, and verification evidence can be reviewed after the fact.
Every important action has a reason, a result, and an evidence trail.
Less dumb. More done.