T0 · SysAdminCross-Module⭐ Triple Impact

PII Redaction — Government-Grade Data Sovereignty

Use cloud AI power with zero data exposure. Certified for BUMN.
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Microsoft Presidio NER5-Layer Defense-in-DepthAES-256 Redaction MapsDynamic GPS Fuzzing
Scenario Walkthrough

How It Works

1
When the AI needs cloud reasoning, the PII redaction pipeline (Presidio) runs locally: worker names → [PERSON_1], asset IDs → [ASSET_A], GPS → fuzzed.
2
Only anonymized data leaves the edge.
3
Cloud model reasons on abstract patterns.
4
Recommendations de-anonymized locally.
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Admin

IT Administrator (T0)

Zero-Knowledge Cloud AI

NayaCore sends data to the cloud for deep reasoning, but redacts all personally identifiable and sensitive information first using Microsoft Presidio. Cloud AI sees the math, but your people stay invisible.

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Local Fog

Real Operational Data

Sensor data arrives with context: 'Pak Budi reported abnormal noise from Press #3 at Mill 1. GPS: -0.5069, 101.4487.'

Raw Input (Local Edge)
[14:32:01] EVENT: INCIDENT_REPORT
[14:32:01] MSG: "Pak Budi reported abnormal noise from Press #3 at Mill 1."
[14:32:01] META: LOC_GPS=-0.5069, 101.4487
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Edge Engine

Presidio Redaction (< 50ms)

Before leaving the local network, NayaCore's 5-layer redaction engine replaces all entities with tokens and fuzzes the GPS coordinates. A temporary, encrypted map is saved locally.

Presidio Redaction Engine
[14:32:02] APPLYING NER FILTERS...
[14:32:02] MSG: "[PERSON_1] reported abnormal noise from Press #3 at Mill 1."
[14:32:02] META: LOC_GPS=[FUZZED_LOC_A]
✓ PAYLOAD SANITIZED FOR CLOUD UPLOAD
☁️
Cloud AI

Deep Reasoning

Gemini Ultra receives the anonymized payload. It correlates the vibration signature with the reported 'abnormal noise' and diagnoses a gear tooth wear issue. It has zero knowledge of who 'PERSON_1' is.

Cloud AI Reasoning
USER: Please diagnose issue based on: [PERSON_1] reported abnormal noise from Press #3.
--------------------------------
AI_AGENT: Based on vibration signatures at [FUZZED_LOC_A], the abnormal noise reported by [PERSON_1] correlates strongly with a worn gear tooth on the primary drive. Recommend immediate inspection.
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Local Fog

De-Anonymization

The AI's response returns to the local fog box, where the redaction map restores the real identities before delivering the alert to the Dispatcher via WhatsApp.

Local De-Anonymization
[14:32:05] RESOLVING TOKENS FROM LOCAL MAP...
[14:32:05] DISPATCHING TO WHATSAPP:
"Based on vibration signatures, the abnormal noise reported by Pak Budi correlates strongly with a worn gear tooth on the primary drive. Recommend immediate inspection."

📊 Before vs. After

Traditional Operations vs. NayaCore

MetricTraditionalNayaCore
Cloud AI Data ExposureFull PII uploadedZero PII leaked (Tokens only)
Regulatory Risk (UU PDP)High (Compliance violations)Near-zero (On-premise residency)
Reasoning QualityLimited to local edge modelsFull Cloud AI capability
Government contracts = 60%+ of Indonesia's industrial IoT addressable market
Quantifiable outcome per deployment site