Siren is a cybersecurity project that integrates deception, machine learning, and proactive threat analysis.
The system lures potential threats into controlled environments, employing a dynamic machine learning model for real-time analysis and classification.
It includes a link monitoring proxy, a purpose-built machine learning model for dynamic link analysis, and a honeypot with simulated user interactions.
Siren transforms traditional defense mechanisms into proactive systems that actively engage and learn from potential adversaries.