Colter

Governed AI security

Useful autonomy starts with explicit authority.

Colter places account and workspace scope, capability grants, tool policy, approvals, budgets, checkpoints, events, and attributable outcomes around durable AI work. Greater autonomy should make control more visible—not less.

Control around the run

Security decisions become part of the workflow design.

Every production proposal identifies the source systems, data boundaries, model routes, credentials, tool actions, approval points, writeback paths, and people accountable for the result. Provisioning follows that accepted boundary.

Colter is currently in private beta. Security posture, support expectations, retention, and production-readiness evidence are reviewed with each customer before activation; this page does not claim certifications Colter has not earned.

Current control model

Scope identity, context, action, and evidence together.

01 / Tenancy

Account and workspace scope follows every customer action.

Human membership, service principals, tokens, runs, connections, and approvals are admitted against explicit account and workspace authority.

02 / Capabilities

Agents receive bounded models, context, tools, and budgets.

Profiles and installations define what can run; grants classify read and mutation authority before a tool call reaches execution.

03 / Human decisions

Consequential actions can stop for review.

Approvals, checkpoints, appended input, cancellation, and resumable state keep people in control without discarding completed work.

04 / Operational evidence

Events, usage, tool activity, and outcomes stay attributable.

Runs maintain durable identity and recorded history so operators can inspect what happened, recover safely, and explain the resulting state.

Before production

We document the operating boundary with you.

The accepted proposal and technical kickoff identify data handling, model providers, integration credentials, approval policy, usage limits, support ownership, evaluation evidence, and the exact path by which results return to the application.

See the review process

Review before access

Bring security into the first workflow conversation.

We’ll make data, model, tool, approval, and writeback decisions explicit before provisioning.