Netra-security

<h2> What I built </h2> <p>For Hacktoberfest 2026 Week 2's <strong>Side Hustle</strong> challenge, I built <a href="https://github.com/kushal-pandey/securelocal-ai" rel="noopener

<p>I've been writing software professionally since 2011.</p> <p>Java, C#, Kotlin, Node.js. Enterprise backends, microservices, APIs, data pipelines. I've shipped production code

<p>Static Application Security Testing (SAST) is the practice of analyzing source code — or bytecode, or compiled binaries — for security vulnerabilities without executing the

<h2> Introduction </h2> <p>AI coding assistants like GitHub Copilot, Cursor, Codeium, and Amazon CodeWhisperer now power a significant portion of modern software development and

<h2> The risk in one paragraph </h2> <p>Every time your team deploys software to AWS, a pipeline authenticates with credentials that can modify production infrastructure. In most

<p>Recently, mentions of Mythos from Anthropic leaked online - a model that found vulnerabilities even in OpenBSD. We thought this was a great moment to share our own developments

<blockquote> <p><strong>Disclaimer:</strong> This article describes a security research activity carried out in a <strong>controlled context</strong>, with educational goals and

<h2> The Problem </h2> <p>Old-school vulnerability scanners work like this:</p> <ul> <li> <strong>If</strong> response matches pattern → <strong>safe</strong> </li> <li>