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SAIPNeuralCiberGuard
§00 Setup

Tell SAIP about the organization

A few questions about what's already in place. SAIP uses this to score posture, map attack surface, and generate an architecture recommendation — nothing here requires guesswork later.

This data never reaches NeuralCiberGuard. It's stored only in this session/browser. When you click a "Generate" button, just that specific analysis is sent to the AI model to produce the write-up — your raw org profile is not logged or retained by us.
Load a starting point
Pre-fills every field below so you can see the engine work immediately.

§01 Organization

The basics

§02 Current stack

What's already in place

Check everything that applies — this drives most of the risk-domain scoring.

Hosting / cloud
Authentication
Multi-factor authentication enforced
For staff and/or customer accounts
Database
CI/CD & code security
Monitoring & observability
AI usage
Payments
Automated backups with a tested restore process
Not just "backups exist" — actually verified to restore

§03 Roadmap

Where you're trying to go

§04 Data & compliance

What you're handling

Data sensitivity
Regulatory regions

§05 Budget

Security tooling budget

§06 Modules

Products & features to assess

Each one gets its own threat score, AI threat model, architecture recommendation, and attack-surface map. Add at least one.

§10 Company overview

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Internal

§11 Company-wide risk

22 domains, scored from your stack answers

§12 Modules

Click into any module for the full analysis

Prototype scope: scoring logic and AI generation are real and run live. What's not wired up yet — a real multi-tenant backend, CI/CD hooks, and persistent cross-device accounts — is the natural next engineering phase, not part of this demo.
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§20 Module analysis

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§21 Threat score

§22 AI threat model

§23 Architecture scoring

Toggle which architecture options are actually on the table for this module.

§24 Attack surface map

§25 Architecture Decision Record