Pragmatic Threat Modeling for Pre-Seed Startups

The Startup Security Dilemma

Pre-seed startups operate under extreme resource constraints. When survival depends on finding product-market fit within six months, spending three weeks conducting a comprehensive STRIDE threat model on an MVP that might pivot next week is an irresponsible use of engineering time.

However, completely ignoring security leads to devastating breaches that kill startups instantly. The solution is pragmatic, highly-focused threat modeling.

The 4-Hour Threat Model

Instead of mapping every theoretical attack vector, focus purely on existential risks. Use a whiteboard and answer these four questions:

1. What is our most radioactive data? (e.g., PII, API keys, financial records). Where is it stored, and who has access?
2. What action, if performed maliciously, would destroy our business? (e.g., draining user wallets, deleting the production database).
3. How do we authenticate and authorize users? Are we rolling our own crypto, or using a proven provider like Auth0 or Supabase?
4. What third-party dependencies have access to our data?

Minimum Viable Security (MVS)

Once you identify the existential threats, implement the Minimum Viable Security controls:

• Enforce MFA for all developers.
• Never store secrets in code. Use a secrets manager (AWS Secrets Manager, Vercel Env Vars).
• Use parameterized queries. SQL Injection should not exist in modern codebases; use an ORM (Prisma, Drizzle) or prepared statements.
• Implement basic rate limiting. Protect your login endpoints and expensive AI API calls from brute-forcing and billing exhaustion.

Security is a spectrum, not a binary state. By adopting a pragmatic approach, startups can protect themselves from 99% of automated attacks while maintaining the velocity needed to succeed.