Drift is the distance that opens between how a system behaved when you assessed it and how it behaves now. The data changes, usage changes, a vendor updates the model underneath you, and the assessment you signed off quietly stops describing the system you run. Monitoring exists to notice that before an incident does.

What is dynamic risk scoring?

A live risk indicator per system that moves with the signals, rather than a rating frozen at assessment time. It does not replace the assessment and it is not a compliance verdict. It tells the accountable owner that the picture has moved and a look is warranted.

Can Aicura ingest telemetry from our own stack?

Yes. Enterprise monitoring includes telemetry ingestion and MLOps evidence ingestion, so signals from your existing observability and model tooling land in the governance record instead of living in a separate world your governance never sees.

What about vendor models we don't control?

Vendor model change signals watch for the changes vendors make underneath you, which is where a lot of drift actually comes from for organisations that consume AI rather than build it. When the model under a registered system changes, the people governing that system hear about it.

Governance that doesn't stop at go-live

The assessment described the system on the day you signed it. Aicura's monitoring notices when the system stops matching that description, watching drift, quality movement, vendor model changes and thresholds that tell a person to look.

Talk to us about monitoring

The cost of a problem scales with how long it runs

The pattern across AI failures, from automated decision schemes to trading systems, is not that nobody assessed the risk. It is that the system kept running after its behaviour left the assessed envelope, and the time between the departure and its detection is where the damage compounded. Governance that ends at approval has no way to notice.

Aicura's monitoring closes the loop. The signals land against the same register entries the assessments hang off, so when the picture moves, the movement is visible to the people accountable for the system rather than to a dashboard nobody owns.

What monitoring covers

Dynamic risk scoring. A live risk indicator per system that moves with the signals, so the register shows current risk rather than the risk as at last review.

Drift and quality signals. Movement in behaviour and output quality against the system as assessed, surfaced before it becomes an incident.

Thresholds and alerting. You decide what movement matters, and a person is told when it happens. Monitoring prompts humans, it does not replace them.

Vendor model change signals. For the AI you consume rather than build, the changes vendors make underneath you are exactly where drift comes from, so they are watched too.

Telemetry, value and spend. Telemetry ingestion and MLOps evidence ingestion bring your existing stack's signals into the governance record, and value, KPI and spend tracking keep the other side of the ledger visible, meaning what the AI is actually delivering and costing.

Monitoring is part of the Enterprise tier, and everything it observes lands in the governance record alongside the enforcement events and the assessments, so the story of each system stays in one place.

Indicators, not verdicts

Monitoring output is operational signal, meaning risk indicators, drift measures and trends. None of it is a compliance verdict and none of it tells the business yes. Aicura provides guidance, not legal advice, and does not certify, audit or issue a compliance verdict. What a moving indicator means for a system, and what to do about it, stays with the owner the alert reaches.

The guide on monitoring AI systems for drift covers the practice, whichever tooling you use for it.

Monitoring questions, answered

Watch your AI the way you'd want it watched

Monitoring is part of Enterprise, and the conversation starts with which of your systems most need watching.

Talk to us

Aicura Pty Ltd. AI governance support SaaS built for Australian organisations.

Governance that doesn't stop at go-live

The cost of a problem scales with how long it runs

What monitoring covers

Indicators, not verdicts

Monitoring questions, answered

What is AI drift?+

What is dynamic risk scoring?+

Can Aicura ingest telemetry from our own stack?+

What about vendor models we don't control?+

Watch your AI the way you'd want it watched