>>> PARKWAY_OS :: PROPRIETARY_ARCHITECTURE

[ CLEARANCE LEVEL: AUTHORIZED ]

[ REG_ID: PWP-EN-09 ] :: THE ENOVEM PROTOCOL

CRYPTOGRAPHY VIRTUALIZATION ZERO-TRUST TCP/IP ISOLATION

> THE VULNERABILITY

Commercial COTS drones automatically sync telemetry and payload data to vulnerable, overseas cloud servers, exposing critical infrastructure to data interception and digital forensics breaches.

> THE ARCHITECTURE

EnoveM is a localized, encrypted bridge. By engineering an isolated TCP/IP environment and applying end-to-end cryptographic protocols, EnoveM strips outbound cloud-sync requests from the flight controller. Multi-spectral payload data is routed exclusively to client-controlled edge servers.

> OPERATIONAL OUTPUT

Absolute Data Custody. STATUS: DEPLOYED

[ REG_ID: PWP-SNTY-V6 ] :: SKY SENTRY ENGINE

PYTHON / PANDAS SIEM INTEGRATION MACHINE LEARNING

> THE VULNERABILITY

Standard C-UAS detection systems fail to account for environmental anomalies (K-Index magnetic interference, multi-altitude wind shear), leading to false positives and inefficient threat hunting.

> THE ARCHITECTURE

Sky Sentry functions as an environmental SIEM (Security Information and Event Management) node. Utilizing Python-based data wrangling and machine learning clustering, the engine aggregates live environmental telemetry. This creates a baseline dataset used to filter out environmental noise during active RF threat detection.

> OPERATIONAL OUTPUT

Precision Environmental Telemetry. STATUS: DEPLOYED

[ REG_ID: PWP-SIM-12 ] :: KINETIC THREAT EMULATION

PENETRATION TESTING THREAT INTELLIGENCE VULNERABILITY SCANNING

> THE VULNERABILITY

Theoretical risk assessment lacks the kinetic data required to accurately model how a localized C-UAS network reacts to an active drone swarm or RF jamming attack.

> THE ARCHITECTURE

Deploying the Matrice 300 RTK as a physical Red Team aggressor, we execute Verification and Validation (V&V) penetration tests against facility perimeters. Flight logs, spoofing attempts, and RF intrusion data are compiled into regression models to identify critical network vulnerabilities before hostile actors exploit them.

> OPERATIONAL OUTPUT

Actionable Threat Intelligence. STATUS: DEPLOYED