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Seezo automates security design reviews before code is written, eliminating the manual bottleneck that prevents threat modeling from scaling. Built for AI-assisted development, it helps security governance keep pace with the speed of the AI-SDLC. Seezo ingests existing design artifacts, PRDs, Jira epics, Confluence pages, and Google Docs, to generate data flow diagrams, threat models, and security requirements mapped to trust boundaries, assets, and data flows. Findings flow directly into Jira, Slack, and Google Docs comments. Built API-first, Seezo integrates with upstream and downstream SDLC systems without changing existing workflows. Every security requirement maps to internal standards and compliance controls with traceable decision trees, triggered rules, and source inputs, making outputs reviewable, auditable, and defensible. No black-box reasoning. Coverage scales to every feature change, not just high-risk ones. SOC 2 audited and ISO 27001 certified. Built by former security leaders from Razorpay and Synopsys, security teams use Seezo to move from selective spot checks to 100% design-stage coverage and make confident security decisions at scale.

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Sandesh Anand is the Co-Founder of Seezo.io.

19 people are employed at Seezo.io.

Seezo.io is based in San Francisco, California.

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