B

Cybersecurity Consultant AI Assistant

3.85

Derivation Chain

Step 1 AhnLab '2026 Consulting School' AI capability enhancement
→
Step 2 Proliferation of AI tool adoption in the security consulting industry
→
Step 3 AI-assisted reporting tool for security consultants in the field

Problem

Consultants at information security consulting firms (5-20 people) spend an average of 16-24 hours per engagement writing post-assessment reports, including vulnerability classification, risk scoring, and remediation recommendations. ISMS-P and ISO 27001 certification audit reports have strict formatting requirements, resulting in a 15-20% rejection rate due to format errors, with each rejection requiring an additional 8 hours for revision.

Solution

(1) Auto-generate report drafts in ISMS-P/ISO 27001 format from uploaded vulnerability scan results (Nessus, OpenVAS, etc.), (2) Automatic risk scoring per vulnerability (CVSS-based) + Korea-specific remediation recommendations, (3) Automated trend comparison with previous reports, (4) Pre-submission format validation to minimize rejection rates.

Target: Senior and junior security consultants at information security consulting firms with 5-20 employees
Revenue Model: SaaS monthly subscription 149,000 won (~$112)/consultant, additional 49,000 won (~$37) per report generated, Team plan (5 users) 590,000 won (~$443)/month
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] AI/ML [medium] Frontend [low]
Dashboard