Trust Center

Security, authority, data, and operating boundaries for agentic systems

Trust is created by executable boundaries and reconstructable evidence—not by describing a model as intelligent or aligned.

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Control model

Six trust boundaries

Each boundary has an owner, enforcement point, evidence, and failure response.

Every agent, delegated task, service, user, and approval is attributable and scoped.

Context is minimized, isolated, retained, deleted, and traced according to the workflow.

Tool access is least-privilege, parameter-constrained, budgeted, and separated from approval.

Policies are evaluated at decision points; consequential actions require named authority.

State, messages, versions, tool calls, policy results, approvals, cost, and outcomes are connected.

The system can contain, stop, preserve evidence, replay, correct, and learn from failures.

Data and operations

Specific client terms supersede these theme defaults.

Area	Default posture
Discovery	Start with public-safe context; request sensitive access only after scope and handling are agreed.
Model and provider use	Identify where content is sent, what is retained, and what contractual controls apply.
Agent memory	Separate transient state, durable memory, organizational knowledge, and evidence records.
Credentials and tools	Use scoped identities and secrets; do not embed broad credentials in prompts or agent configuration.
Logs and traces	Capture enough to reconstruct behavior while minimizing unnecessary sensitive content.
Human review	Name the reviewer, criteria, authority, evidence, and escalation path.
Deletion and retention	Define ownership and lifecycle for prompts, messages, traces, memory, fixtures, and evidence.

Operational readiness

The response must operate at both agent and system level.

Contain
Disable the affected workflow, agent role, tool, model route, or action class.
Preserve
Freeze the relevant state, messages, versions, policy results, approvals, and external outcomes.
Reconstruct
Replay the task graph and identify the initiating condition, propagation path, and failed control.
Correct
Change the narrowest effective combination of policy, architecture, prompt, tool, data, or review.
Validate
Run representative and regression scenarios before restoring authority.
Learn
Update controls, fixtures, runbooks, ownership, and portfolio guidance.

Start with a bounded decision

Bring the workflow, data classes, tools, action classes, providers, and review context that must be evaluated.