
Cognisafe — Secure AI. Secure the Future.
Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X
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23 projects

Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X

Secure AI agent actions with code checks, permission gates, and approval workflows.
@RElharrak39428 · X

Chat with AI agents to scan web apps and APIs for vulnerabilities in real time.
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

Audit your AI app for security, privacy, and governance readiness.
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https

AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X

Paste a public GitHub repo and get an honest A–F security grade in seconds.
u/DistinctPicture4660 · Reddit
I built a security scanner that checks every GitHub push and tells AI exactly how to fix the issues Hello, As a developer, I ship a lot of code with Claude Code, and I've used pretty much every security scanner out there. Most of them are great at telling you what's wrong. Then they leave you with a long report, and you're back to copying logs into Claude or Cursor, asking your AI to figure out how to fix everything. I wanted something that fit the way many of us build software today.

Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

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

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X

AI platform with code, chat, video, image, music creation and fake detection powered by decentralized compute.
@jaltucher · X
Just launched "Blue TAO CODE" at . My goal is to create a user-friendly front-end to $TAO. You can now Code, chat, create videos, images, music, search, and do fake AI detection. And there's a "FUN" page with projects created using CODE or other subnets. Check out Xagram and ratemaxxer. With Code, you can have the AI create code and you can also deploy code to production. I am paying 1/250th the cost of Claude Code. So have at it!

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