
Vulnsy - Pentest Reporting Platform for Security Teams
Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X
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25 projects

Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X

Automated security audits for GitHub repositories to catch secrets, auth issues, and deployment problems.
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

API that converts CVE vulnerability data into machine-readable risk signals for automation.
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

Generate test cases and scripts automatically from requirements.
@SEOexpertpkk · X
AI-Driven Test Automation Platform

Check AI-generated outputs for errors and security issues before shipping to production.
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams

Scan your app for leaked API keys, open databases, and auth bypasses.
Nqspq
been building a security scanner for vibe-coded apps — it catches leaked API keys, open databases, logins you can bypass. tested it on a repo made for testing scanners. it caught everything — report below free if you want to check yours:

Scan web apps for security vulnerabilities with 7 scanners and receive AI fix prompts and PDF reports.
@hexorasec · X
Paid Hexora accounts now get PDF security reports. Every finding with evidence, CVSS scores, remediation steps, and AI fix prompts, in a report you can hand to a client or keep for compliance. Live for Starter, Pro, and Max. #buildinpublic #vibecoding

Scan AI-built apps for security vulnerabilities including leaked keys and exposed config.
thfothijn · Product Hunt
OpzyAI Finds what your AI-built app leaks — your editor fixes it

Automatically configure DMARC, SPF, and DKIM to prevent email spoofing and improve deliverability.
@okamigenshin · X
Try Authex, for securing your domain and email autonomously.

AI-powered security auditor that scans GitHub repos to find vulnerabilities and suggest fixes.
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th