What I built Kido.ai is a lightweight Windows desktop app that monitors your local files Vibe coders and solo developers often skip security tooling. Traditional Watches files as you work Understands what a threat means, not just that it matched a signature Gets smarter over time from real-world threat data The core of Kido.ai is eepban 1.0, an open source threat intelligence engine. It continuously pulls from 6 live sources: CISA KEV — Known Exploited Vulnerabilities catalog NVD — National Vulnerability Database OSV.dev — Open Source Vulnerability database GitHub Advisory — GitHub's security advisory feed URLhaus — Malicious URL database MalwareBazaar — Malware sample database It auto-classifies threats, scores confidence, and generates detection rules automatically. When a threat is detected, it escalates through a multi-AI pipeline based on severity: Higher plan tiers unlock deeper AI analysis. The free tier runs local rules only. Beyond file monitoring, Kido.ai also detects: DNS & C2 traffic — catches callbacks to known malicious domains Prompt injection attempts — for developers building AI-integrated apps This is a beta build without OV code signing — Windows SmartScreen will The engine source is fully open on GitHub so you can verify exactly what it does. GitHub (engine): https://github.com/Kido-ai-secure/engine Download beta: https://github.com/Kido-ai-secure/engine/releases/tag/v1.0.0-beta Website: https://kido-ai.com Would love feedback from the security community — especially on the threat detection approach and anything I might have missed.