Delilah Honeypot vs Sesame IT LOKI: Threat Deception: Side-by-Side Comparison (2026)

Short answer

Security teams running lean threat detection operations will get immediate value from Delilah Honeypot for its specificity: it catches reconnaissance and exploitation attempts against Elasticsearch without the noise that generic honeypots create. The tool is free and GitHub-native, meaning you deploy it in under an hour and stay out of vendor licensing conversations entirely. Skip this if you need honeypot coverage across multiple database engines or a managed platform with alerting integration; Delilah is narrow by design, optimized for one attack surface. Mid-market and enterprise security teams with mature threat hunting practices will get the most from Sesame IT LOKI: Threat Deception because it generates zero false positives while capturing attacker behavior inside your own network, letting you build institutional knowledge instead of chasing noise. The on-premises deployment and automated lure placement mean you're not shipping traffic or waiting for cloud processing; deception traps fire immediately. Skip this if your team lacks the bandwidth to analyze and operationalize attacker telemetry; LOKI collects gold but requires someone to refine it into actionable detection rules.