B
Cloud Migration Security Training
3.40
Derivation Chain
Step 1
Sensitive public data private cloud migration policy
→
Step 2
Lack of security competency among migration-responsible public officials
→
Step 3
Cloud security training simulation tool
Problem
Public institution practitioners (non-information security majors) responsible for private cloud migration need to quickly learn cloud security concepts (encryption, access control, audit logs), but existing training is theory-oriented group training (2-day course) with low practical applicability. There is high anxiety because they can be held personally responsible for security incidents after migration.
Solution
Interactive simulation training based on real cloud migration scenarios (AWS/NHN/Naver Cloud). Provides step-by-step practice from data classification → encryption setup → access control configuration → audit log review, and immediately provides feedback on relevant legal provisions and risks when answers are incorrect.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (69%)
Data Availability
20.0/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (72/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
Frontend [medium]
AI/ML [low]