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Startup Security Guide & LLM CISO

An open-source project provides a security guide, compliance checklist, and LLM-based virtual CISO persona for startups, with specialized coverage for foreign companies entering the Korean market. The project includes jurisdiction-aware modules that flag gaps between GDPR, CCPA, and Korea's PIPA, which has stricter encryption mandates and criminal penalties. The LLM CISO can run on local models via Ollama for proprietary data and use public LLMs for general policy assessment.

read8 min views9 publishedJun 17, 2026

An open-source security guide, compliance checklist, and LLM-based virtual CISO persona for startups -- with specialized coverage for foreign companies entering the Korean market.

Startups are vulnerable. Limited resources, no dedicated CISO, and security always deferred to "later." But customer data and intellectual property accumulate from day one -- and legal obligations apply regardless of company size.

Three incidents from Korea in the first half of 2026 demonstrate that one misconfiguration can cascade into existential damage:

The common thread: All three began with a single misconfiguration or a single overlooked vulnerability. None required sophisticated zero-days. The damage was inversely proportional to organizational maturity.

What startups need is not a $100K security suite. It is knowing what to do first, and a system to check it regularly.

An LLM can serve as a startup's first CISO.

As of mid-2026, Claude 4, GPT-4o, and DeepSeek V3 -- alongside locally-run models via Ollama -- can:

A hybrid model -- where proprietary data stays on-premise with local LLMs (Ollama) and general policy assessment uses public LLMs -- makes this production-ready today.

This project implements that hypothesis in code and prompts.

Korea is Asia's fourth-largest economy and a strategic launch market for SaaS, fintech, AI, and consumer platforms. But its data protection regime presents unique challenges that differ significantly from GDPR and CCPA:

Dimension GDPR (EU) CCPA/CPRA (US/CA) PIPA (Korea)
Regulator
National DPA per member state California AG / CPPA Personal Information Protection Commission
Breach Notification
72 hours to DPA Without unreasonable delay 72 hours to data subject; 24 hours to KISA for ISPs
Data Protection Officer
Required for most processors Not required (but privacy officer recommended) CPO required for ALL entities, regardless of size
Encryption
Appropriate technical measures Reasonable security
Mandatory AES-256 for unique identifiers (RRN, passport, etc.), SHA-256+ for passwords
Access Logs
Retention per purpose Not specified
Mandatory 6 months minimum; monthly review for ISPs
Cross-border Transfer
Adequacy decision / SCCs / BCR No specific restriction
Data subject consent required for overseas transfer
Penalties
Up to 4% of global turnover or EUR 20M Up to $7,500 per violation Up to KRW 30M fines + criminal liability
Resident Registration Number
N/A N/A
Collection prohibited unless specifically required by law

Key Insight: A GDPR-compliant EU startup is not automatically PIPA-compliant in Korea. The Korean law has stricter encryption mandates, mandatory access logging, and a universal CPO requirement that has no equivalent in GDPR or CCPA. Violations carry criminal penalties, not just civil fines.

This project's LLM CISO persona includes jurisdiction-aware compliance modules that flag these gaps automatically.

Startup_Security_Guide/
β”œβ”€β”€ README.md                        # Korean README
β”œβ”€β”€ README_EN.md                     # This document: English README
β”œβ”€β”€ STARTUP_SECURITY_GUIDE_KR.md     # Phase 1: Korean guide & checklist
β”œβ”€β”€ STARTUP_SECURITY_GUIDE_EN.md     # Phase 1: English guide (with jurisdiction comparison)
β”œβ”€β”€ LLM_CISO_PROMPT_KR.md            # Phase 2: Korean CISO prompt system
β”œβ”€β”€ LLM_CISO_PROMPT_EN.md            # Phase 2: English CISO prompt system (cross-jurisdiction)
β”œβ”€β”€ LLM_CISO_DASHBOARD.md            # Phase 3: Dashboard design (Korean)
β”œβ”€β”€ LLM_CISO_DASHBOARD_EN.md         # Phase 3: Dashboard design (English)
└── llms.txt                         # LLM-friendly index

A comprehensive, stage-gated security guide covering the startup lifecycle from pre-seed to Series A. Based on KISA guidelines and the MINARC framework (startup-security.netlify.app), extended with:

Usage: Open in a browser to follow the checklist, or provide the full document as context to an LLM and ask: "Evaluate our company against this checklist."

A persona prompt system that transforms any LLM into a virtual CISO with explicit cross-jurisdictional expertise. Includes:

Component Description
Base CISO Persona 15-year veteran CISO with pragmatic, action-oriented style. NIST CSF-based methodology, standardized response format.
Korea Compliance Module Deep knowledge of PIPA, Network Act, Unfair Competition Prevention Act. KISA security standards.
GDPR/CCPA Module EU and US privacy law expertise for cross-referencing compliance gaps.
Cross-Jurisdiction Diff Module
New. Specifically detects where GDPR/CCPA compliance does NOT satisfy Korean requirements, and vice versa.
Domain Assessment Prompts Cloud / Google Workspace / DRM / KISA compliance / GDPR compliance / Quick scan. Each with 25-31 evaluation items.
Prompt Chain 6-step multi-stage assessment: Context Gathering -> Parallel Domain Assessment -> Cross-Jurisdiction Gap Analysis -> Synthesis -> Final Report -> Action Plan.
Ollama Modelfile Custom model creation script for air-gapped local CISO operation.
TypeScript/Node.js Integration API invocation code for Claude, GPT, DeepSeek. Ollama Provider implementation. Vercel Serverless Function.

Usage -- Public LLM:

1. Copy the "Base CISO Persona" section from LLM_CISO_PROMPT_EN.md as System Prompt
2. Copy the desired domain assessment prompt as User Message
3. Provide specific company context (jurisdiction, data types, stage)

Usage -- Local LLM (Ollama):

brew install ollama            # macOS

ollama pull llama3:8b          # or gemma3:12b, qwen2.5:14b

cat > Modelfile << 'EOF'
FROM llama3:8b
SYSTEM """You are a Virtual CISO for startups, specializing in cross-jurisdictional
compliance (GDPR, CCPA, PIPA/Korea). You identify gaps where compliance in one
jurisdiction does not satisfy another..."""
PARAMETER temperature 0.3
EOF

ollama create ciso-global -f Modelfile

ollama run ciso-global "We are a US-based SaaS startup (Series A, 25 employees, AWS + Google Workspace)
expanding into Korea. We comply with CCPA. What additional measures do we need for PIPA?"

Usage -- TypeScript/Node.js (Vercel deployment):

git clone https://github.com/gameworkerkim/CYBER-THREAT-INTELLIGENCE-REPORT.git
cd CYBER-THREAT-INTELLIGENCE-REPORT/Startup_Security_Guide

npm install

export ANTHROPIC_API_KEY="sk-ant-..."
export CISO_MODE="public"   # or "local" for Ollama

npm run assess -- --domain cross-jurisdiction \
  --context '{"homeCountry":"us","targetCountry":"kr","stage":"series-a","teamSize":25}'

Web-based CISO dashboard design document. Planned implementation with Next.js + Vercel + TypeScript:

Phase 1 (Done)     Phase 2 (Done)      Phase 3 (Planned)    Phase 4 (Planned)
     |                   |                     |                    |
     v                   v                     v                    v
Security Guide     LLM CISO Persona      Web Dashboard        Unified Monitoring
& Checklist        & Prompt System                             Framework
                                           |                    |
                                           +-- CLI MVP          +-- Wazuh/XDR integration
                                           +-- Web UI           +-- Real-time alerts
                                           +-- Cron automation  +-- SIEM integration
                                           +-- Multi-LLM        +-- Team dashboard

The end goal is a self-hosted dashboard that startups access daily. Not merely a checklist viewer, but an integrated monitoring system where the LLM periodically scans infrastructure, detects anomalies, and prioritizes remediation actions -- functioning as an always-on virtual CISO.

Curated evaluation of open-source and research projects relevant to AI-assisted security governance. Current as of June 2026.

Project Stars Assessment
Project Stars Assessment
Project Stars Assessment
Project Stars Assessment
Report ID Title Relevance
CTI-2026-0604-TVING Tving OTT Platform Personal Data Breach CI exposure, misconfiguration impact
CTI-2026-0604-CU_BREACH CU Delivery Service Web Vulnerability Hack Unpatched web vulnerability consequences
CTI-2026-0611-FASTCAMPUS_DAYONECOMPANY FastCampus GitHub Master Key Theft Secret management and detection failure
CTI-2026-0420-VERCEL Vercel Security Breach (AI SaaS Supply Chain) Cloud/CI/CD supply chain threats
CTI-2026-0611-MIASMA_SPRINGBLIGHT Miasma Worm Azure Package Mass Infection Supply chain attack impact on all organizations
CTI-2026-0605-CLAUDECODE Claude Code GitHub Action Privilege Bypass LLM/CI/CD security vulnerabilities
Awesome Static Analysis Security Tools Open-source SAST Tools Collection DevSecOps pipeline construction
LAON VaultGuard Multi-LLM Secret Detection Tool Pre-commit hardcoded secret prevention
Criterion How This Project Differs
Scope
Cloud + SaaS (Google Workspace) + DRM + KISA compliance + GDPR + CCPA + incident response in a unified guide. Most similar projects focus on a single domain.
LLM Support
Hybrid architecture supporting both public (Claude/GPT/DeepSeek) and local (Ollama) LLMs. Few comparable projects support both modes.
Cross-Jurisdiction
Explicit coverage of GDPR vs. CCPA vs. PIPA legal differences. The cross-jurisdiction compliance diff module has no equivalent in any listed project.
Startup-Specific
Stage-gated checklists from Pre-Seed to Series A. Free/open-source tool recommendations accounting for limited budgets.
Execution Readiness
Concrete CLI commands, API code, Modelfiles, Vercel deployment configuration -- ready to deploy, not just conceptual.
Layer Technology Purpose
Language TypeScript (Strict), Node.js 22 API server, CLI tools
Framework Next.js 15 (App Router) Phase 3 dashboard
Hosting Vercel API endpoints and frontend
Database Vercel Postgres Assessment history
Cache Vercel KV (Redis) Assessment result cache
LLM - Public Claude (Anthropic), GPT-4o (OpenAI), DeepSeek High-capability assessments
LLM - Local Ollama + Llama 3 / Gemma 3 Air-gapped sensitive data processing
Scheduling Vercel Cron Jobs Automated periodic assessments
Notifications Slack Webhook, Resend (Email), Notion API Assessment result delivery
Auth NextAuth.js (Google OAuth) Dashboard user authentication

This project is open-source and welcomes contributions:

Contribute via GitHub Issues or Pull Requests. All contributions follow the CC BY-NC-SA 4.0 license.

This guide and prompt system are provided for educational and defensive purposes. Actual security architecture and regulatory compliance depend on each company's specific circumstances. Critical legal decisions require professional review. LLM assessments are assistive tools; automated evaluation results should not be relied upon as sole grounds for compliance decisions.

Channel Info

Maintained by

[Dennis Kim]| (c) 2026 |[CC BY-NC-SA 4.0]

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