
MIRAGE
AI honeypot that deceives attackers instead of blocking them
What it does
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.
Does the same job
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ArgusAI Jul 2026 · argusai-tau.vercel.app · ▲7AI firewall for LLM calls, MCP tools, and agentic workflows




- BOBeelzebub (OSS) – MCP "canary tools" for AI agentsSep 2025 · ▲8
We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
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