You are CIO at a 5,200-employee insurance group — Quarterly risk review. The board wants: "A unified cyber + AI + operational risk picture across our 6 divisions, with the top-3 things that could meaningfully damage us in the next 90 days, ranked."
Live mesh panels (synthetic data)
NexusAI War Room — risk fusion
Active signals
184
across 7 mesh apps
HIGH severity (90d)
11
−3 since last review
Cross-app correlations
6
highest = TIP+EP+Adv
Top emerging theme
Identity layer
tier-1 breach risk
Confidence model
Brier 0.21
well-calibrated
AdversarialAI — model risk surface
Models in prod
47
claims + UW + fraud
Probes failed (last)
8 of 142
down from 12
Highest-risk model
FraudV3
13% bias drift
EU AI Act high-risk
12 models
documentation gap = 4
Mitigation path
Retrain + DPIA
6-week sprint
ResiliencePulse + IdentityPulse — ops + identity
Open incidents (P1+P2)
3
all under SLA
Identity stale entitlements
420
≥180d, mostly ex-staff
MFA coverage
94%
6% gap = ops backdoor
Incident drill cadence
Q
next due in 3 weeks
MTTR trend
5.2h → 3.8h
improving
Mesh query
Top-3 things that could meaningfully damage us in the next 90 days, ranked?
Mesh composite answer
Top-3 ranked: 1) FraudV3 model bias drift (regulatory + reputational, ~$8M exposure), 2) Identity stale entitlements (cyber lateral risk, ~$12M expected loss), 3) EU AI Act DPIA gap (€7M cap, 12 models).
NexusAI War Room fused 184 signals from 7 mesh apps and the top-3 fall out cleanly. Risk #1 is FraudV3: AdversarialAI shows 13% bias drift on a model running in production claims, which under Loi 25 + the new EU AI Act is high-risk and the documentation is incomplete — a retrain + DPIA sprint is 6 weeks of work, $8M expected exposure if a regulator audits before then. Risk #2 is identity hygiene: IdentityPulse shows 420 stale entitlements, 94% MFA coverage (the 6% gap is operational accounts which are exactly what ransomware operators target). AdversarialAI's attack-path simulation shows this is the most likely first-stage compromise, ~$12M expected-loss model based on insurance industry incident data. Risk #3 is the AI Act DPIA gap on 12 high-risk models — penalty cap is 7% revenue (~€7M for your group). All three are 90-day fixable; the FraudV3 retrain is the single highest-leverage move.
Provenance — which flagship contributed what
NexusAI War Room
fusion of 184 signals → ranked HIGH-severity list
AdversarialAI
FraudV3 13% bias drift + 12 high-risk AI Act models
IdentityPulse
420 stale entitlements + 6% MFA gap on ops accounts
This is a recorded demo. Numbers shown are synthetic and illustrative —
designed to show how the mesh fuses signals across flagships. The free trial runs the
same workflow on your own data with live FXWatch / SentimentDNA / CreditPulse / etc.
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