Security Design ReviewCross-industryPublished February 5, 2026

Scale Security Design Reviews (SDR) for Modern AppSec Teams

Executive summary

What this whitepaper covers

Shift-left does not fail because developers resist security. It fails because the design stage never gets a seat at the table. SAST, SCA, and DAST catch defects once code exists, but none of them help engineers avoid introducing the vulnerability in the first place. Security Design Reviews (SDR) solve that problem by generating security requirements before any code is written, and the AppSec to developer ratio (often 2 per 100) makes them impossible to run manually at scale. This whitepaper walks through how Seezo SDR automates the process: 900 plus predefined rules with support for custom rules, input from Jira, Confluence, Google Docs, Slack, PDFs, and architecture diagrams, a RAG plus decision-tree approach that keeps hallucination low, and integrations that fit into workflows engineering already runs. It covers three case studies including a US healthtech company that cut SDR turnaround from 3 hours to 10 minutes, and a roadmap for AppSec teams moving from pilot to full coverage.

Key findings

What you'll take away

  • ✦900 plus predefined rules with custom rule support cover the security requirements AppSec teams generate during design reviews
  • ✦Input works from the documentation engineering already produces: Jira, Confluence, Google Docs, Slack, PDFs, and architecture diagrams
  • ✦A US healthtech company (valued at over $7B) cut SDR turnaround from 3 hours per review to 10 minutes, and found roughly half of the issues human reviewers found without customization
  • ✦Deployment flexibility: SaaS on app.seezo.io or self-hosted on AWS and Azure, with GCP support coming
  • ✦SOC 2 Type 2 and ISO 27001 certified; customer data is never used for model training on either deployment option
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FAQ

Frequently asked questions

What inputs does Seezo SDR accept?
Existing design documents wherever they live: Jira, PDFs, Confluence, Google Docs, and Slack. Architecture diagrams are also supported and produce deeper analysis when provided.
How does Seezo keep LLM output reliable?
Two techniques combined. Retrieval-augmented generation (RAG) grounds the model in the actual design documents. Decision-tree prompt engineering forces yes/no answers instead of open-ended ones, which reduces hallucination.
How long does a typical review take?
Seezo generates a security summary, open questions, security requirements, and compliance mapping in about 10 minutes. A spot check by a human reviewer runs around 60 minutes on top of that for high-risk features.
Which integrations are live today?
Seven at launch: Google Drive, Notion, SharePoint, Confluence, Jira, Slack, and ServiceNow. The roadmap adds 10 plus more over the next six months including GitHub, Miro, and Lucidchart.