AI control infrastructure
Identity · Evidence · Change · Policy · Decision

Control the AI systems you deploy.

Trace material changes, test the controls around consequential workflows, and keep operational decisions tied to the systems, policies and evidence that support them.

Demonstration uses synthetic data
The platform

One control record across the AI lifecycle. AI Assurance Infrastructure/console

AURELIS connects identity, evidence, analysis, policy and decisions so a change can be traced from the affected asset to the action required.

01 · IdentityCanonical system, version, owner, environment and capability records.
02 · EvidenceEvidence references with provenance, freshness and verification state.
03 · ChangeDependency and system changes mapped to potentially affected controls.
04 · PolicyMachine-readable conditions defining what an operation is permitted to do.
05 · DecisionTraceable control outcomes, remediation and reassessment state.
See the method

Change a system. Trace the impact. Inspect the decision.

The public demonstration uses synthetic records so visitors can inspect the workflow without exposing customer information.

Continuous control loop

When the system changes, its supporting evidence can change with it.

Material changes can trigger impact analysis, targeted reassessment and a new control decision instead of silently relying on stale evidence.

AI asset v4.2→evidence→ASSURED→model change→impact analysis→REVIEW→reassessment
11 infrastructure domains

Activate the control surfaces that match the problem.

Each domain shares the same identity, evidence, policy and decision foundation. Domains can be selected independently for an agreed engagement.

Commercial model

A defined technical engagement before a larger rollout.

The first engagement is designed around one operational problem, explicit boundaries and measurable deliverables—not an unexplained platform fee.

Trust boundary

Precise about what was actually verified.

AURELIS does not present an assessment as a universal security certification or guarantee. Results are bounded by the implementation, evidence, scenarios and controls agreed for the engagement.

EVIDENCE

Trace the basis

Link findings and decisions to the source records, versions, policies and test conditions that support them.

TESTING

Verify the control

Use defined cases and acceptance criteria to test whether a stated control behaves as expected.

LIMITS

State the boundary

Report missing evidence, untested areas and assumptions rather than turning incomplete evidence into a stronger claim.