The digital AI stands for Artificial Intelligence for robotic to evaluate a next generation for innovative creation to approaches to Artificial Intelligence and robotics to secure a privacy of data for next generation to secure a data with more security. To this research the automation and the autonomous robotics without the help the human power and data privacy. With the help of Cyber Security, the challenges can be faced and critical thinking will be secured by the cyber act. AI driven threat detection without the help of human the AI robot can do all the activity and the robotic can provide a real time application. These approaches of Artificial intelligence can help as to do a thread detection, prediction analysis, Automation while robotic can solve a real-world problem. The innovative approaches to AI, Robotics and data privacy for next generation security here are three key innovative algorithms namely Federated Averaging (Fed Avg), Proximal Policy Optimization (PPO), Differentially Private Stochastic Gradient Descent (DP-SGD). The main domain for Artificial Intelligence and data privacy we use Federated Averaging (Fed Avg) and the main purpose to enable machine learning without sharing raw data and privacy and security to protect data with system security. Proximal Policy Optimization (PPO) domains are Artificial intelligence with robotic concept, the main purpose is to make autonomous decisions to train data and it is used to secure a patrols, drones and automated systems. Finally, the best result is obtained by the model namely (DPSGD) Differentially Private Stochastic Gradient Descent produce a domain called data privacy with (AI) Artificial Intelligence and the main purpose of DP-SGD is to train while ensuring noise to gradient by ML model. This paper explores a solution to a Artificial intelligence (A) robotics and data privacy in security to secure a intelligent system for a next generation challenge of security. The highlight of Artificial intelligent (AI) enables a real time detection of threat. The robotics supports a automation of autonomous response to a data privacy to a sensitive data modeling to a decision making