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MIRAGE

AI honeypot that deceives attackers instead of blocking them

Most AI security tools silently block attacks. MIRAGE does the opposite — when it detects a prompt injection, jailbreak, or data exfiltration attempt, it routes the attacker to a convincing decoy persona that feeds them fabricated data and honey tokens. Nothing real leaks. Every move is logged and tagged with MITRE ATLAS techniques for threat intelligence. Built with Go + Redis + Gemini/OpenAI. Docker Compose, no build step. Demo mode works without any API keys.

Top comment

Hey PH! 👋 I built MIRAGE at a hackathon focused on AI agent security. The idea came from a simple question: why do we only block attacks? Traditional honeypots deceive attackers to study them — why not apply that to AI? So instead of dropping suspicious requests, MIRAGE spins up a fake AI persona that acts convincingly real, serves fabricated data, and logs everything. The attacker thinks they're succeeding. They're not. Demo mode runs without any API keys — just docker compose up and you'll see live simulated attack sessions. Feedback very welcome, still alpha!

About MIRAGE on Product Hunt

AI honeypot that deceives attackers instead of blocking them

MIRAGE was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. Most AI security tools silently block attacks. MIRAGE does the opposite — when it detects a prompt injection, jailbreak, or data exfiltration attempt, it routes the attacker to a convincing decoy persona that feeds them fabricated data and honey tokens. Nothing real leaks. Every move is logged and tagged with MITRE ATLAS techniques for threat intelligence. Built with Go + Redis + Gemini/OpenAI. Docker Compose, no build step. Demo mode works without any API keys.

On the analytics side, MIRAGE competes within Open Source, Developer Tools, GitHub and Security — topics that collectively have 625k followers on Product Hunt. The dashboard above tracks how MIRAGE performed against the three products that launched closest to it on the same day.

Who hunted MIRAGE?

MIRAGE was hunted by Victoria Fonareva. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of MIRAGE including community comment highlights and product details, visit the product overview.