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Product Launch: Clariseque — Making CVEs Relevant to Your Tech Stack

Dear Community, This is my first product launch, and I wanted to start by sharing a project that I created to solve a common problem that I faced as a developer. The Problem Security advisories and CVEs are everywhere. While most are…

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Dear Community,



This is my first product launch, and I wanted to start by sharing a project that I created to solve a common problem that I faced as a developer.



The Problem



Security advisories and CVEs are everywhere. While most are marked Critical, in reality, a large number of them simply do not apply to the stack that is being used. It is a time-consuming and frustrating process to have to research whether a particular CVE applies to your situation.



As a full-stack developer, I wanted to find a better way to efficiently answer one question:

“Does this CVE apply to my setup, and what do I do about it?”



What I Built



Clariseque is a prototype AI vulnerability assistant that was created to help cut through the informational noise and provide better decision-making support.



Operational Overview:




  • You specify your tech stack once (Next.js, PostgreSQL, Docker, and so on)

  • You ask your questions in natural language—paste a CVE number, a code snippet, or a security question

  • Clariseque delivers:


    • Whether the problem actually applies to your tech stack

    • Which parts of the system are affected

    • Specific, actionable steps to remediate








The goal is not to replace security tools but to help developers move from alerting to informed decisions faster.



Target Audience





  • Primary: Full-stack developers


  • Secondary: Application security (AppSec) professionals and security-focused engineers



If you ever ignored a CVE because you were unsure of its relevance, this tool is for you.



Current Status




  • Currently live and functional

  • Very early / initial launch

  • Currently free to use



The launch is kept small to learn from real-world usage and feedback before scaling further.



Launch and Feedback



I recently gave a talk on Clariseque at Peerlist to gather early feedback, and now I'd like to extend the invitation to the DEV community as well.



If you give the tool a try, I'd be very grateful for feedback on:




  • Would this be something you'd use on a regular basis?

  • What is unclear or not included?

  • What features would make it truly valuable to your workflows?



Check the project here: Clariseque



Thanks for taking the time to read, and I look forward to any feedback.

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