AI Surveillance Privacy Auditor

4.10

Derivation Chain

Step 1 Government AI identity verification surveillance infrastructure buildout

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Step 2 Growing privacy concerns over surveillance technology

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Step 3 Automated privacy impact assessment for corporate AI surveillance tools

Problem

Korean companies adopting AI-based identity verification and facial recognition (security firms, building management, retail) must conduct Privacy Impact Assessments (PIA) under Korea's AI Basic Act enacted in 2025, but specialized consulting costs $15,000-$37,500 per assessment, experts who understand both legal and technical aspects are scarce, and assessments take 3-6 months to complete.

Solution

Generates draft Privacy Impact Assessments by capturing AI surveillance system data flows through a questionnaire-based input. Automatically maps compliance against Korea's Personal Information Protection Act, AI Basic Act, and GDPR in a cross-reference table, and recommends mitigation measures for high-risk items. Exports assessment results as PDF formatted for submission to PIPC (Personal Information Protection Commission).

Target: Chief Privacy Officers (CPOs) at security/facility management companies (10-50 employees) and retail headquarters deploying AI CCTV

Revenue Model: Per-transaction pricing $370/assessment (basic), annual subscription $150/month for unlimited assessments with report updates included

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

5.0/5

M Market

4.0/5

R Realizability

3.0/5

V Validation

5.0/5

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity

29.3/40

Data Availability

23.1/25

MVP Timeline

20.0/20

API Bonus

0.0/15

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 (63/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

20.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

15.0/15

Solo Buildability

3.0/10

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] AI/ML [medium] Frontend [low]

Dashboard