AhnLab XDR vs Tetragon: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
AhnLab XDR is a commercial extended detection and response tool by AhnLab. Tetragon is a free extended detection and response tool. Compare features, ratings, integrations, and community reviews side by side to find the best extended detection and response fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Mid-market and enterprise security operations teams with heavy log volume and limited analyst bandwidth should evaluate AhnLab XDR for its AI-powered triage and agentless collection model. The platform's strength in continuous monitoring and incident analysis, combined with real-time scenario rule updates and an optional MXDR service, lets lean teams prioritize threats without deploying agents across every asset. Skip this if you're invested in a different vendor's endpoint ecosystem; AhnLab's integrations are tightly bound to its own EPP and EDR products, limiting flexibility in heterogeneous environments.
Teams running Kubernetes clusters who need visibility into system calls and process behavior without agent overhead should start with Tetragon; its eBPF foundation catches runtime anomalies at kernel level while staying free and open-source, with 4,476 GitHub stars reflecting active adoption among infrastructure-first shops. The real value is enforcement,not just logging,which means you can block suspicious syscalls in real time rather than alerting after the fact. Skip this if your threat model centers on supply chain or pre-execution detection; Tetragon is strongest on runtime containment, weakest on the Govern function.
