JEPA, or Joint Embedding Predictive Architecture, is an artificial intelligence model designed to predict abstract changes in the environment. Unlike traditional AI models that focus on reconstructing detailed visual information, JEPA emphasizes understanding causal relationships and high-level dynamics. This approach allows the AI to anticipate the effects of actions or events, making it valuable for applications in robotics, cybersecurity, and strategic planning. By focusing on causality rather than surface details, JEPA enables more robust and adaptable decision-making, especially in complex or unpredictable scenarios. Its predictive capabilities are particularly useful for threat detection and response in cybersecurity, where anticipating attacker behavior is crucial.