Skip to content
Technology How it works Breeder — Hyperion Burner — Aegis Burner — MetroVolt AI-Native Architecture Magnets Fuel cycle Safety Roadmap
Solutions AI & Data Centers Defense & Government Grid & Baseload Neutron Detection Quantum
Learn Technical Library
Proof Publications Whitepapers Technical Library Open Science & Reproducibility The Honest Gates
Company About / Mission Leadership Environment Health & Safety Investors Careers Press Contact
3D Model
AI Architecture › Security & Zero-Trust
Security & Zero-Trust

Securing the KRONOS-CTRL Digital Twin

The digital twin drives design, training, and replay; its models and data are integrity-protected so a corrupted twin cannot poison the controllers it informs.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

The twin as a trust dependency

KRONOS-CTRL, the digital twin, is where control policies are developed, models are trained, and decisions are replayed for verification. Because the twin influences what the real machine will do, its integrity is a security property, not just an engineering convenience. A corrupted twin could ship a subtly wrong control model, or make a real fault look normal in replay. Kronos protects the twin's model artifacts, training data, and outputs accordingly.

Integrity controls

Replay as a tamper detector

python
# Replay a signed decision against the pinned model; mismatch = alarm
def replay_check(decision):
    model = load_pinned(decision.model_hash)     # exact model version
    out = model.infer(load_state(decision.state_hash))
    if out != decision.cmd:
        raise Tamper('decision not reproducible - investigate')
    return True

Separation from live control

The twin runs at Purdue level 2 and in IT-side training clusters, never directly on the actuation path. It cannot command the machine; its influence is only through vetted, promoted artifacts. This means even a fully compromised twin cannot directly move the plasma - it can only attempt to ship a bad model, which the promotion ceremony and post-promotion attestation are designed to catch.

Design status: model versioning, replay determinism, and gated promotion run today in the twin environment - which is itself the current test bed since no reactor is built. Live-plant separation is the intended FOAK deployment.

Content reviewed August 2026 · design-and-simulation stage