
Threat Modeling for Non-Security Founders
Build a lightweight startup threat model from assets, trust boundaries, misuse cases, mitigations, owners, tests, and review triggers.
Read LyraShield AI research and practical guidance on securing AI-built apps, interpreting security evidence, verifying findings, and retesting fixes.

Build a lightweight startup threat model from assets, trust boundaries, misuse cases, mitigations, owners, tests, and review triggers.

Remove cleartext exceptions from mobile releases, test the real networking stack, and verify certificates, redirects, and backend TLS.

Use two owned accounts and synthetic records to test object-level authorization across reads, writes, deletes, exports, files, and nested resources.

Trace a v0 app from generated code through Next.js server boundaries, Vercel previews, environment variables, and the deployed site.

Treat every Vercel preview as a live environment, then control deployment access, variables, data, bypass secrets, callbacks, and retirement.

Verify a vulnerability finding by checking scope, code paths, prerequisites, safe reproduction, impact, and independent evidence.

A six-layer guide to testing AI-built apps, preserving evidence, retesting fixes, and making an honest release decision.

Combine event-triggered checks with a weekly default-branch scan, named ownership, response deadlines, and recorded retests.

Control Cascade terminal actions, MCP tools, credentials, shared rules, and branch review as Windsurf moves into Devin Desktop.

Trace untrusted Markdown and model output through parsing, sanitization, DOM insertion, CSP, and safe local verification.