SCADA-AI Risk Matrix

AI Infrastructure Incident Impact & Regulatory Risk Modeler

Avalanche Summit Context: "There's going to be some kind of AI agent that gets into a power plant... it's not going to be existential... but it will be serious enough... serious AI-related incidents could accelerate calls for government restrictions on major companies." — Haseeb Qureshi (@hosseeb via @CoinDesk)

Incident Controls LIVE SOLVER
Simulation Presets
AI Agent Autonomy Level 82%
Agent self-prompting loop depth & autonomous tool access
Target Vulnerability (Hardening Inversion) 65%
SCADA network air-gap decay, unpatched firmware, legacy OT protocols
Incident Severity Vector 74%
Scope of actuation: turbine trips, generator desync, load shedding
Economic Downtime EST. LOSS
$142.5M
Direct grid desynchronization, spot replacement & outage mitigation
Public Safety Risk SEVERITY
High (78/100)
Evaluates municipal disruption, emergency response, and grid stability
Regulatory Friction Index POLICY
89
Likelihood and stringency of federal legislative & compliance response
⚠
Projected Emergency Policy Action Mandatory Federal Air-Gap & Liability Act
Incursion Topology & Attack Propagation Phase 3: SCADA Actuation
Federal Legislative & Executive Intervention Ladder TRIGGER MAP
National Defense Critical Grid Isolation Order (Friction ≥ 92)
Federal mandate ordering absolute disconnect of all autonomous agent execution layers from energy grids.
Mandatory Federal Air-Gap & Liability Act (Friction ≥ 85)
Statutory liability transferred directly to model developers and corporate operators; required physical isolation switches.
Mandatory Incident Reporting & Third-Party Audit Directive (Friction ≥ 70)
Mandatory 24-hour breach reporting to CISA and mandatory red-teaming for autonomous model capabilities.
National Cyber Security Advisory & Heightened Alert (Friction ≥ 55)
Joint advisory issued to critical infrastructure operators detailing prompt injection and agent tool exploitation.
Baseline NIST Voluntary AI Guidelines Alignment (Friction < 55)
Voluntary risk management framework adoption without punitive enforcement.

SCADA-AI Incident & Policy Risk Dynamics

Read the explanation

The model simulates an autonomous AI agent penetrating an operational technology gateway, targeting SCADA controllers, and destabilizing the physical power grid. Three live inputs feed into composite loss: eighty-two percent autonomy, sixty-five percent vulnerability, and seventy-four percent severity. Linear weights accumulate into economic downtime of one hundred forty-two point five million dollars while the regulatory friction gauge surges toward eighty-nine. Crossing the threshold of eighty-five instantly activates the Mandatory Federal Air Gap and Liability Act on the intervention ladder.

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