In Cyber Security, One of the major challenge is the provision of automated and effective Cyber-threats detection technique. In this paper we use Artificial intelligence technique for cyber threat detection based on artificial neural networks. In this technique it collects security events to individual event profiles and uses a deep learning based detection method for cyber threat detection. The different artificial neural network methods are FCNN, CNN, LSTM. It uses data sets from real world and compares the performance of different algorithms. The different machine learning methods are SVM, K-NN, RF, NB, and DT. At the end it compares all the different algorithms and chooses the best algorithm for cyber threat detection.