Used AI agents to build and ship a full cybersecurity product — from miner detection to threat intel API to payment processing

Reddit r/AI_Agents News

Summary

A developer used a multi-agent AI system (Claude, Gemini, Quen) to build and deploy a full cybersecurity product, ScannerSend, including miner detection, threat intel API, and payment processing, with agents managing production infrastructure.

I run a multi-agent system <my bots name> where Claude, Gemini, Quen and other models handle different parts of my infrastructure through MCP connections, automations and connectors to my servers, workstations, laptops, phones. For ScannerSend, the agent pipeline looked like this: 1. **Problem identification** — VPS getting cryptojacked, existing tools (ClamAV) missing it 2. **Core tool** — AI-assisted build of a behavioral miner detector (1,618 lines Python, zero deps) 3. **Bug fixes + testing** — 4 critical bugs found and fixed, 13 unit tests written 4. **Website** — full cyberpunk-aesthetic site with storytelling, docs, FAQ 5. **Honeypot infrastructure** — Docker containers catching real attacks 6. **Threat Intel API** — 10 endpoints, 3 tiers, rate limiting, auth 7. **Payments** — Square catalog + checkout links, wired end-to-end 8. **Monitoring** — 10 automated health/security checks on schedules The agents didn't just write code — they deployed it to production servers, rebuilt Docker containers, updated Caddy configs, managed DNS, and verified everything end-to-end.
Original Article

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