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Threat modeling is one of the highest-leverage security activities a team can do: identifying risks before they become vulnerabilities, while changes are still cheap to make. In practice, most teams skip it. It requires deep knowledge of both the application architecture and the threat landscape, takes significant time from senior security engineers, and the output is often a document that lives in a wiki and never gets revisited. When threat modeling does happen, it’s usually a one-time exercise during design. The model goes stale as the feature evolves during implementation, and the team has no way to verify whether the identified risks were actually addressed in the final code.

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How Neo Solves This

Neo performs threat modeling as a continuous part of the development process, combining its understanding of your architecture with its knowledge of real-world attack techniques.
  1. Analyzes the proposed change — Neo reads design documents, architectural diagrams, feature specs, or PR descriptions to understand what’s being built, how it integrates with existing systems, and what data flows it introduces.
  2. Identifies threat vectors — based on the proposed design and Neo’s knowledge of your existing architecture, it identifies the specific attack vectors that are relevant: authentication bypass opportunities, data exposure paths, trust boundary violations, privilege escalation risks, and injection surfaces.
  3. Prioritizes by real-world exploitability — Neo ranks threats based on how likely they are to be exploitable given your specific stack and architecture, drawing on its knowledge of real-world exploitation techniques and its memory of what’s been found in your environment before.
  4. Recommends specific mitigations — for each identified threat, Neo provides concrete implementation guidance: which patterns to use, which libraries to leverage, and which pitfalls to avoid, specific to the languages and frameworks your team works with.
  5. Validates after implementation — when the feature is built and a PR is opened, Neo can test whether the identified threats were properly mitigated, closing the loop between design-time analysis and runtime security.

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What This Looks Like in Practice

You share a feature design with Neo: 
We're adding a new feature that lets users share documents 
with external collaborators via email invitation. 

The flow is:
1. User creates a sharing link with an email whitelist
2. System sends invitation emails with a unique token
3. External user clicks the link and gets read-only access
4. Tokens expire after 7 days

Our stack: Node.js API, PostgreSQL, React frontend, 
S3 for document storage.

Threat model this feature and identify the highest-risk 
attack vectors.
Neo analyzes the design and identifies: token predictability or brute-force risks, insecure direct object references on the document retrieval endpoint, email whitelist bypass through token reuse, missing access revocation when sharing is disabled, and potential SSRF if the system processes URLs in shared documents. Each threat is ranked by exploitability and paired with specific mitigation guidance for your Node.js and PostgreSQL stack.

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What You Get

  • Threat analysis before code is written — risks identified at the design stage when they’re cheapest to address
  • Threats ranked by real exploitability — prioritized based on what attackers actually exploit in your technology stack, not generic risk matrices
  • Implementation-specific mitigations — concrete guidance tied to your languages, frameworks, and existing patterns
  • Design-to-deployment validation — Neo can verify that identified threats were mitigated when the feature ships, closing the loop between threat model and production code
  • Living threat models — as your architecture evolves, Neo’s understanding evolves with it, keeping threat analysis current without manual maintenance

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Setup

To run threat modeling:
  1. Start a new conversation and share the feature design, architecture document, or PR description
  2. Provide any relevant context about the affected systems, data sensitivity, and compliance requirements
  3. Neo produces the threat model and can follow up with validation testing once the feature is implemented