There is an exhausting tug-of-war ongoing between most engineering and security teams. A developer spends weeks building a feature, only for a late-stage security scan to flag deep, structural vulnerabilities. The code is sent back, deadlines are blown, and the painful cycle of patching begins. For years, Application Security (AppSec) has been a reactive bottleneck. To secure a product from the start, teams have had to rely on manual, time-consuming threat modeling that often requires an army of expensive consultants. We are essentially asking security teams to constantly play catch-up with the sheer velocity of modern software development.
It takes the deep, hard-earned empathy of operators who have actually lived this pain to build a system that fundamentally fixes it. And that is precisely what Sandesh Mysore Anand and Rakshitha R Rao are doing with Seezo.
Having led security and customer success at scale for organizations like Razorpay and PingSafe, Sandesh and Rakshitha are building an AI-powered Security Design Review platform that completely industrializes how secure software is built.
The product’s underlying architecture is conceptually brilliant. Instead of waiting for code to be written, Seezo deploys intelligent AI agents that ingest early-stage design documents, data flows, and architecture diagrams straight from tools like Jira and Confluence. The platform autonomously analyzes these artifacts, identifies risky design choices, and delivers clear, standards-aligned security requirements directly into the developer’s workflow ‘before’ a single line of code is ever typed.
The true moat here is context and transparent reasoning. Seezo doesn’t just spit out generic warnings; it understands company-specific architecture, breaks down complex attack paths, maps vulnerabilities to strict compliance frameworks like PCI, and explicitly explains the full reasoning behind every flagged threat. It transforms threat modeling from a highly specialized, manual dark art into an automated, scalable engineering standard.
The market? Scaling fintechs and global enterprises desperate to secure their applications from day zero without linearly scaling their security headcount. By giving security teams a platform to collaborate proactively with developers, Seezo gives engineering organizations their momentum back, shifting the paradigm from reactive friction to secure, high-velocity innovation.
Seeing these head-down builders apply generative AI to solve one of the most stubborn structural flaws in software development is a powerful signal. They are quietly rewriting the playbook, proving that world-class AppSec doesn’t need to be a roadblock — it can be woven into the very fabric of how software is made.
Let’s celebrate the builders.
w/ Jay Ingle & Dikshant Joshi
