Detect with Code

Empowering SOC Analysts with Code & ML

Practice and teach SOC and Detection Engineering. Learn Python and Machine Learning techniques to catch real-world threats. The ultimate practice ground for Security Engineers preparing for technical interviews.

50+ Real-world Scenarios
Python First-class Support
ML Anomaly Models

Coding is logic poetry, not just syntax.

AI can generate code, but it cannot replace the thinking that makes code useful. Real coding is the ability to break a problem into components, reason through data, test assumptions, and build a systematic path to the answer. SECODER trains that logic poetry through security problems that force you to think before you type.

Master Anomaly Detection

Develop the technical skills required to build robust defenses.

Detection Engineering

Write robust code to parse logs, PCAPs, and raw telemetry. Create custom playbooks and signatures for proactive defense.

Machine Learning

Apply ML algorithms to isolate statistical outliers and uncover hidden anomalies. Reduce noise and analyst fatigue.

Real-world Scenarios

Engage with real threat scenarios inside an interactive, data-rich coding environment. Train against simulated cyberattacks.