Developing an AWS Environment to Improve PoC Efficiency for IoT and AI
MAGLAB Inc.
Applied Services: Amazon EC2, AWS Security, IoT
MAGLAB Inc., launched in July 2017, focuses on "Reuse PoC" services for IoT and AI solutions — helping clients research and successfully implement emerging technologies through proof-of-concept engagements. Classmethod designed a security-enhanced AWS environment that supports both proof-of-concept development and post-release operations.
Developing AWS Environment to Strengthen Security
The architecture captures, analyzes, and detects security threats in IoT and M2M device traffic — critical for PoC services where client data and device communications must be protected during experimentation and development phases.
Security Architecture Components
- • SORACOM Junction for IoT/M2M traffic mirroring and inspection
- • Amazon EC2 with Trend Micro Security VNF for threat detection
- • SORACOM Canal for secure packet transmission
- • VPC peering connections for network isolation
- • Entry Management System (EMS) for access control
Results Achieved
- • Security-enhanced environment supporting IoT and AI PoC services
- • Real-time threat detection in IoT/M2M device traffic
- • Infrastructure supports both PoC and post-release production operations
- • Client data protected through comprehensive security controls
This case study uses Amazon EC2 and AWS Security services.
Classmethod builds secure AWS environments for IoT and AI companies — implementing traffic monitoring, threat detection, and network isolation that protects client data through the PoC lifecycle and into production.