Policies, assets, findings, approvals, and reports remain separated by organization.
Trust Center
Security posture for AI systems that need enterprise control.
Runtime decisions, tenant-scoped evidence, approval gates, and deployment patterns security teams can review before rollout.
- Tenant boundaries
- Policy evidence
- Approval gates
- Deployment control
Security Model
Designed around boundaries, evidence, and controlled action.
Capture only the decision context needed to explain risk, enforcement, approval, and reporting.
AIGuard evaluates prompts, tools, browser actions, and outputs before risky behavior proceeds.
Spectra keeps findings, remediation proposals, and reports reviewable before action.
Deployment Posture
Clear control points for security architecture review.
Enterprise customers should be able to map Ametriq to their existing AI app, security operations, identity, logging, and evidence workflows.
InputsPrompt, tool, code, asset
ControlsPolicy + triage
ReviewApproval gates
EvidenceAudit + report
Security Review Checklist
Questions Ametriq should answer during procurement.
These are the areas we should be prepared to discuss with security teams before pilot or production rollout.
Where is enforcement placed?
Gateway, application, agent, MCP/tool path, or security workflow integration.
What data is retained?
Decision metadata, evidence records, findings, approvals, and report artifacts.
How are tenants separated?
Organization-scoped policies, assets, runs, triage decisions, and reports.
Who approves agent output?
Defined review gates for remediation, reporting, and release-impacting action.