Secuarden

Deleted user wrote:Secuarden is a security co-pilot for your GitHub repositories. It uses LLMs to scan your code and AI prompts for real, contextual vulnerabilities—like secrets, injections, and insecure patterns—without the noise of traditional SAST tools. Built for fast-moving dev teams, it works out of the box across Python, JS/TS, Node, and more. 👉 Connect your repo and get your first scan in under 5 minutes.

Deleted user wrote:Secuarden connects to your GitHub account and analyzes your repositories using LLM-powered scanners that understand your code in context—not just by matching patterns. It uncovers real issues like hardcoded secrets, injection flaws, misconfigurations, and even risky AI prompt usage. Like a seasoned security engineer, Secuarden works with you to understand the specifics of your repo. It surfaces a Context Confidence Rating™ to show how well it understands your codebase—so you know when the insights are spot on. 🔐 Security insights that actually help—no static rules, no setup hassle. 👉 Start your first scan now.

Deleted user wrote:Secuarden is powered by Large Language Models (LLMs) and built on a context-engineered architecture—designed to analyze code the way a security engineer would. Instead of using brittle rules or static signatures, it performs deep, contextual analysis across source code, configs, and AI prompts. Its secret sauce? A Context Confidence Score that tells you how well Secuarden understands your repo—so you’re never acting on guesswork. 🧠 Think of it as your AI-powered security engineer—context-aware and GitHub-native. 👉 Connect your repo and see it in action.

Deleted user wrote:Here’s what’s available in the Beta today: ✅ LLM-Powered Security Scanning – Analyze your codebase and AI prompts for real vulnerabilities, not just pattern matches ✅ Context Confidence Score – Know how well Secuarden understands your repo before trusting results ✅ Multi-language Support – Works out of the box for Python, Node.js, JavaScript, TypeScript, and PHP ✅ GitHub Integration – Connect your account, select repos, and start scanning in minutes ✅ Free Tier – Run scans on limited repos to see what Secuarden can do 🛠️ Coming soon: 🚧 Auto-generated Fix Suggestions – Inline remediation advice you can review and apply 🚧 CI/CD Integration – Pull request scanning and GitHub Actions workflows 🚧 Risk History & Trend Tracking – See how security posture changes over time 🚧 Team & Role Management – Invite teammates, set access controls 🧪 We’re building this with real-world dev teams—your feedback shapes what’s next. 👉 Try the beta and help us make security smarter.

Deleted user wrote:Not yet. Secuarden currently supports Python, JavaScript, TypeScript, Node.js, and PHP—with more languages coming soon based on community demand. We’re focused on delivering high-context, high-confidence results, so each language is carefully added with deep support—not just keyword scanning. 🛠️ Got a language you want supported next? 👉 Let us know and help shape the roadmap.

Deleted user wrote:Yes. You can connect multiple repositories to Secuarden and run scans across each of them. The free tier lets you secure a limited number of repos to get started. Need more? You can easily upgrade to increase your repo limit. 🔄 Scan, monitor, and manage security across all your critical codebases. 👉 Start with a few—scale as you grow.

Deleted user wrote:Secuarden uses context-engineered LLMs to analyze your code like a security expert—not a pattern-matching script. It understands how code flows, how data is handled, and where risk might hide—like hardcoded secrets, injection points, misconfigurations, or unsafe AI prompt usage. For every issue it surfaces, Secuarden provides a Context Confidence Score, helping you gauge the reliability of the finding based on how well it understands your repo. 🔍 Less noise. More signal. Real issues you can act on. 👉 Run a scan and see what it finds in your code.

Deleted user wrote:Secuarden was created by a team of security engineers and builders who’ve spent over two decades helping software teams ship secure products. After seeing traditional tools fail fast-moving dev teams—especially startups—we built Secuarden to make real security accessible, actionable, and context-aware. It’s developed as part of Appsec360, and proudly built in Melbourne, Australia. 🛡️ Built by engineers who’ve lived the pain—and decided to fix it. 👉 Join the early adopters shaping what’s next.

Deleted user wrote:Connecting is simple and secure. Just sign up at secuarden.com, then follow the prompt to install the Secuarden GitHub App. You’ll be asked to choose which repositories you want to grant access to—read-only by default. Once connected, you’ll be able to select repos and trigger your first security scan in under 5 minutes. 🔐 OAuth + GitHub App = secure, scoped access you control. 👉 Sign in and start scanning now.

Deleted user wrote:Yes. Secuarden is built to secure both Classic Code and Vibe Code projects. Just export your vibe-coded project as a zip, upload it, and we’ll scan it for vulnerabilities, secrets, and misconfigurations — then give you AI-powered fixes you can apply instantly.

Deleted user wrote:Vibe Code security is about scanning and securing code built on AI-assisted, no-local-dev platforms like Loveable. Secuarden analyzes your uploaded project files for vulnerabilities, secrets, and risky configurations — without requiring a GitHub connection.

Deleted user wrote:Simply export your vibe-coded project as a zip and upload it to Secuarden. Our LLM-powered engine performs a contextual security scan, flags real issues, and generates AI-suggested fixes you can apply instantly.

Deleted user wrote:No. You don’t need local tooling, repos, or build pipelines. Just your exported project files — Secuarden handles the rest, making security checks accessible even for fully cloud-built projects.

Deleted user wrote:Classic Code scanning connects directly to your GitHub repositories, running security checks on the latest code in your repo. Vibe Code scanning works without a repo — you simply upload your exported project files from an AI-assisted, cloud-based platform. Secuarden scans them with the same LLM-powered engine, finding vulnerabilities, secrets, and risky configurations, then suggesting instant fixes. Both methods use contextual analysis, not outdated rule sets — the only difference is how the code gets to Secuarden.