Icarus Threshold · Risk in Dollars

Your AI exposure, in dollars.

AI gives enterprises what wax wings gave Icarus: the power to transcend ordinary limits. The Icarus Threshold exists to measure the distance between ambition and catastrophe. It continuously transforms runtime events, agent behaviour, and operational signals into financial exposure ranges your CFO, CISO, and board can act on before the sun gets too close.

Beyond compliance theatre and meaningless risk scores: quantified operational exposure in dollars.

Current exposure · sample portfolio
$72k $78k

Continuously Recalibrated · per-agent + portfolio · Confidence Interval

How it works
STEP / 01
Observe

Every agent event contributes structured signals: model, tool, latency, cost, policy result, risk flag.

STEP / 02
Profile

Aleytheya drafts each agent's domain, autonomy, tools, and data sensitivity from observed traffic. You verify and confirm.

STEP / 03
Observe

Our engine continuously transforms runtime telemetry into operational and financial risk intelligence.

STEP / 04
Report

The board gets a dollar range — not another list of colored flags.

Components

Agent auto-profiling

Profiles are built from observed traffic, not onboarding forms. Aleytheya automatically constructs the operational profile of each agent — including autonomy, tool access, and data sensitivity — for streamlined human verification.

Draft → confirm in 30sDrift detectionQuarterly reconfirmation

Calibration to your portfolio

As your traffic accumulates, the model recalibrates against the events you actually generate — so the dollar number reflects your business, not an industry average.

Industry priorsCustomer-calibratedTransparent inputs

Quarterly exposure ranges

Aleytheya converts your live agent telemetry into a forward-looking exposure range you can put in front of a CFO: expected AI exposure over the next 90 days, with a high and low band.

High / Low band90-day rollingPer business unit

Board-ready reporting

Risk data flows into governance reports with a clear Policy → Rule → Evidence chain — so the organization can explain not only what happened, but what controls existed before it happened.

Policy mappingEvidence trailAuditor-ready