APPLIED R&D INITIATIVES

OBJECTIVE: Standardized threat-mapping for Ontario's critical infrastructure perimeters.

METHODOLOGY: Integrating environmental telemetry from our proprietary Sky Sentry engine (monitoring localized K-Index and RF propagation variables) to run Kinetic Data Simulations. This allows us to digitally model rogue drone incursions under specific environmental stress conditions before deploying our Matrice 300 RTK as a physical Red Team aggressor.

OBJECTIVE: Absolute data custody from drone sensor to edge-server.

METHODOLOGY: Engineering a Zero-Trust spatial data pipeline utilizing EnoveM architecture. This protocol ensures that raw multi-spectral and thermal captures are subjected to AES-256 cryptographic standards mid-flight, neutralizing data-interception risks prevalent in standard commercial cloud processing.

OBJECTIVE: Upgrading the human firewall against advanced social engineering.

METHODOLOGY: Utilizing the proprietary Security_Recon_Hub to run gamified penetration testing and zero-day threat emulation. We are actively researching AI-assisted behavioral analysis to decrease the latency between a human operator recognizing an anomaly and executing defensive countermeasures.