Technology & AI risk-off · 6–18 months
A what‑if from the future

What if a poisoned IT-monitoring update backdoors government and corporate networks?

A trojanized network-management update seeding backdoors across government and F500 is the textbook supply-chain espionage event — a genuine, broad risk-off as remediation cost and trust damage ripple; VIX up, high-beta sold, gold bid. This is precisely the Dec-2020 SolarWinds/SUNBURST playbook. Forward: market impact scales with whether data was exfiltrated vs. mere access; SolarWinds itself was a slow-burn, not a one-day crash.

20%
our model probability
over 6–18 months
prediction markets — the market's odds
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Anchored to measured history 20% · 90% range 11–30% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

The butterfly cascade

How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.

Resolution timeline — how this probability is moving

Our model's odds (electric blue) over time vs the market's (Polymarket, amber), from the past toward the 6–18 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. Loading the probability audit trail…

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What it would mean

If this plays out, it is a risk-off shock. A trojanized update to widely deployed network-management software seeds backdoors across government and Fortune 500 networks. The trigger decomposes into signed root‑shocks — Geopolitical risk ▲ · Risk appetite ▼ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.