Know what changed in your AI estate—and what it means for control.
AURELIS connects AI identity, dependencies, evidence and policy state so teams can trace material changes to affected systems and decide what should happen next. Start with one system and one operational problem; expand only when the workflow proves useful.
Not another AI dashboard.
The dashboard is the interface—not the product itself. The product value is a connected record of assets, evidence, policy evaluations, decisions and remediation that engineering, security and governance teams can inspect and integrate.
When the system changes, its evidence may no longer apply.
Material changes can invalidate evidence and trigger impact analysis, targeted reassessment and a new control decision.
Activate the controls the AI estate actually needs.
Each domain is independently subscribed, but all share the same identity, evidence, policy and decision infrastructure.
Designed to fit around existing AI operations.
Begin with a defined scope, explicit data boundaries and a measurable question. Connect only the sources needed for that use case; do not assume an integration or enforcement path exists until it has been configured and tested.
Know what is authorized
Connect asset identity, purpose, permissions and policy conditions to a decision that can be reviewed.
Understand blast radius
Trace a model, vendor, tool or data change to affected assets and evidence that may need reassessment.
Make the reasoning inspectable
Link findings and decisions to their source records, versions, policies and follow-up actions.
Trust boundary: AURELIS does not claim independent certification, guaranteed compliance or universal runtime enforcement. Capability and results depend on the deployed implementation, integrations and evidence supplied.