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.
Governed AI security
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
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
Human membership, service principals, tokens, runs, connections, and approvals are admitted against explicit account and workspace authority.
Profiles and installations define what can run; grants classify read and mutation authority before a tool call reaches execution.
Approvals, checkpoints, appended input, cancellation, and resumable state keep people in control without discarding completed work.
Runs maintain durable identity and recorded history so operators can inspect what happened, recover safely, and explain the resulting state.
Before production
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 processSecurity contact
Send security questionnaires, architecture-review requests, privacy questions, or responsible disclosures directly to the Colter team.
Email the security contactReview before access
We’ll make data, model, tool, approval, and writeback decisions explicit before provisioning.