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Artificial intelligence is changing the game for cybersecurity, analyzing enormous amount of risky data, increasing response times and enlarging the abilities of under-resourced security tasks. While security as IT percentage grows at a fast pace, the cost of security beaches grows at a more rapid pace. The malware targeting Android is growing. Android systems holds more than 70 percent of the market share.This paper presents a simple APK analysis approach with the help of neural networks to identify malicious and benign application. The selected methodology is efficient in detecting malwares with an accuracy of 98.42% and false positive rate of 0.0121