Question 1

What is Seezo?

Accepted Answer

Seezo is an AI-powered platform for automated security design reviews and threat modeling. It reads your design documents, extracts the architecture, and produces security requirements and structured threat models in minutes, delivered into the tools your teams already use. Seezo also secures AI-native development with a plugin that brings security guidance, design reviews, and implementation validation directly into coding agents like Claude Code, Cursor, and Codex.

Question 2

What does Seezo need as input? Do we need formal design documents?

Accepted Answer

Seezo works from any design-stage input: tech specs, PRDs, RFCs, architecture diagrams, Confluence pages, tickets and .md files or context files. No special format or diagram is required. Seezo extracts components, data flows, trust boundaries, and threat actors from whatever your teams already write, and asks open questions where information is missing.

Additionally, if a design took shape inside a coding agent and the only artifact is the conversation, that's enough for Seezo to work from. You don't need to hand Seezo a separate design document. The Guidance skill in the Seezo AI Plugin works directly from the existing agent context, delivering security guidance aligned with your organization's standards and frameworks.

Question 3

Why can't I just build this in-house?

Accepted Answer

You can build a prototype quickly; many teams have wired an LLM to a prompt in a weekend. Production quality is the hard part: encoding your organization's standards so reviews reflect them, evaluating model output for accuracy, ensuring consistent results across reviews, keeping results stable as models change, integrating with every tool where designs live, building an agentic version of the app, and maintaining all of it as your stack evolves. Seezo packages years of that engineering into a platform your security and development teams can use immediately, and it keeps improving as models, frameworks, and workflows change.

Question 4

Do you train your models on our data?

Accepted Answer

No. Seezo uses frontier models from OpenAI, Anthropic, and Google through enterprise APIs with contractual no-training clauses. Your design documents are used only to generate your assessments. They never train the underlying models and never influence results for any other customer.

Question 5

How does Seezo generate a threat model?

Accepted Answer

Seezo starts with the design context your team already has: design docs, diagrams, tickets, code, or plain text. It uses that context to understand the system, including its components, assets, data flows, and trust boundaries, and then identifies the threats and attack paths that apply. It also generates the security requirements needed to address them. If something important is missing, Seezo flags it as an open question instead of filling in the gaps.

Question 6

What does Seezo include in a threat model?

Accepted Answer

A Seezo threat model shows the system's components, assets, data flows, and trust boundaries, along with the threats identified across them. It also shows the relevant threat actors, attack paths, framework mappings such as STRIDE, security requirements, and existing controls.

Question 7

How does Seezo handle incomplete architecture information?

Accepted Answer

Seezo doesn't make up information that isn't in the design. If there's not enough context to determine whether something is a threat or how it should be addressed, Seezo raises an open question and shows what information is missing. You can then update the assessment once that information is available.

Question 8

How is Seezo different from generic AI threat modeling?

Accepted Answer

Seezo works from your actual design context along with your organization's security standards, and looks across the architecture rather than treating components in isolation. Every threat and requirement shows its decision path and citations, tracing back to the source artifact and the standard behind it. So instead of a generic list of possible threats, you get a threat model tied to your design, with the reasoning behind each finding.

Question 9

How does Seezo handle AI hallucinations?

Accepted Answer

Every Seezo finding is grounded in your design artifacts and evaluated against a structured rule engine, and each one carries citations back to the source document. If Seezo flags a missing authorization check, you can see exactly which part of the design triggered it. Where the design lacks enough information to support a finding, Seezo raises an open question for the team to answer. This keeps every recommendation explainable and easy to verify.

Question 10

How does Seezo fit alongside SAST, DAST, and code scanning?

Accepted Answer

Seezo works at the design stage, before code exists. Code scanners find implementation bugs in code that has already been written. Seezo finds design flaws, such as a missing authentication boundary or an unencrypted data flow, which code scanners cannot see because they are decisions, and Seezo catches them when they are cheapest to fix. The two are complementary, and Seezo AI plugin's validate-implementation capability connects the design review to the code that ships.

Question 11

Can Seezo find business logic vulnerabilities?

Accepted Answer

Yes. Seezo analyzes every design in two layers. The rules engine goes deep on each component, evaluating it against thousands of structured security checks. The threats engine then reasons across components: it walks every data flow and trust boundary in your design and asks what a real attacker could do with your specific business flows, surfacing issues like race conditions on a balance during checkout, bypasses of documented restrictions, parameter tampering, and abuse of trust between services.

Each threat is a concrete attack scenario with an attack path, a threat actor drawn from your own system roles, and mitigations linked to the exact security requirements and open questions that close it. Like everything in Seezo, threats are grounded in evidence from your design documents rather than a generic checklist, so you can verify each one before acting on it.

Question 12

Can developers use Seezo without leaving their workflow?

Accepted Answer

Yes. Seezo connects to the tools where designs already live, including Confluence, Google Docs, SharePoint, Jira, Slack, GitHub, ServiceNow, DevRev, Linear, IcePanel, Lucidchart, and Notion, and delivers findings back as tickets, comments, or markdown. Developers can also work with the Seezo Agent in Slack, in MCP-compatible coding agents like Claude Code, Cursor, and Codex, and in the Seezo app to run assessments, retrieve findings, and ask security questions from wherever they are.

Question 13

Does Seezo work with AI coding agents?

Accepted Answer

Yes. The Seezo AI Plugin works with Claude Code, Codex, Cursor, VS Code with GitHub Copilot, and any other coding agent that supports MCP. It delivers your org's security standards to the agent while it works, runs full Seezo design reviews from the agent session, and validates the finished code against the requirements Seezo raised.

Question 14

Can we customize Seezo for our organization's security standards?

Accepted Answer

Yes. You bring your security standards, architecture patterns, preferred libraries, and internal terminology, and Seezo builds an organizational memory from them. The Custom Rules Engine, Knowledge Graph, and Glossary apply that knowledge to every review, so security requirements and remediation guidance match how your organization defines secure software. Your team can add and update rules themselves, with no services engagement required.

Question 15

Who uses Seezo?

Accepted Answer

AppSec teams, security architects, and developers who build software. Seezo serves enterprise customers across the US, Southeast Asia, and India in fintech, insurance, retail, and healthcare. It helps teams scale security design reviews without disrupting developer workflows.

What Seezo means for each team

• Security architects: Consistency and governance. Encode your organization's security standards, terminology, and context and Seezo applies them consistently to every security design review at scale.
• Developers: Guidance without friction. Get explainable, context-aware security requirements before you write code, delivered directly into Jira, Slack, and coding agents.
• Defensive AppSec: Coverage, telemetry, and standards enforcement. Review every feature, not just the crown jewels, with requirements and threats mapped to the exact components in each design. Get telemetry into who ran what, from which tool, and with what outcome.
• Offensive AppSec: Threat models, attack paths, and pentest planning. Generate structured threat models with attack paths to prioritize penetration testing, scope red team exercises, and communicate architectural risk back to engineering.

Question 16

What about data security and compliance?

Accepted Answer

Seezo is SOC 2 Type 2 audited and ISO 27001 certified. Your data is encrypted in transit and at rest, model providers are bound by no-training agreements, and access follows enterprise-grade security practices.

Security before developers write
the first line of code

Security before developers write
the first line of code

Problems to solutions

Threat models and security requirements, generated in minutes

Connect your existing tools

Seezo extracts your architecture

Findings mapped to components

Findings delivered to your workflow

From assessment to action, automatically

Not a black box.
Explainability at every step.

Integrations

Seezo Everywhere

Customer stories

Frequently Asked Questions

What is Seezo?

What does Seezo need as input? Do we need formal design documents?

Why can't I just build this in-house?

Do you train your models on our data?

How does Seezo generate a threat model?

What does Seezo include in a threat model?

How does Seezo handle incomplete architecture information?

How is Seezo different from generic AI threat modeling?

How does Seezo handle AI hallucinations?

How does Seezo fit alongside SAST, DAST, and code scanning?

Can Seezo find business logic vulnerabilities?

Can developers use Seezo without leaving their workflow?

Does Seezo work with AI coding agents?

Can we customize Seezo for our organization's security standards?

Who uses Seezo?

What about data security and compliance?

From design to threat model in minutes

Security before developers writethe first line of code

Security before developers writethe first line of code

Problems to solutions

Threat models and security requirements, generated in minutes

Connect your existing tools

Seezo extracts your architecture

Findings mapped to components

Findings delivered to your workflow

From assessment to action, automatically

Not a black box.Explainability at every step.

Integrations

Seezo Everywhere

Customer stories

Frequently Asked Questions

What is Seezo?

What does Seezo need as input? Do we need formal design documents?

Why can't I just build this in-house?

Do you train your models on our data?

How does Seezo generate a threat model?

What does Seezo include in a threat model?

How does Seezo handle incomplete architecture information?

How is Seezo different from generic AI threat modeling?

How does Seezo handle AI hallucinations?

How does Seezo fit alongside SAST, DAST, and code scanning?

Can Seezo find business logic vulnerabilities?

Can developers use Seezo without leaving their workflow?

Does Seezo work with AI coding agents?

Can we customize Seezo for our organization's security standards?

Who uses Seezo?

What about data security and compliance?

From design to threat model in minutes

Security before developers write
the first line of code

Security before developers write
the first line of code

Not a black box.
Explainability at every step.