The main objective is to detect different types of cyber attacks accurately on big data within less time. To detect cyber-attacks, A novel secure for Big Data Cyber Security Framework Analytics using Scalable Adoption is presented. This presented framework leverages Big data technologies to detect attacks. This framework can collect data, store it, and analyze a large amount of data of security events. This framework not only detects the threats, attacks and viruses but also gives ranks alerts based on their severity and dangerousness. The performance of presented framework is evaluated in terms of Accuracy, Response time, and FPR (False Positive Rate). The performance of presented framework is validated in terms of Accuracy, FPR (False Positive Rate) and Response time. This framework will detect the attacks very accurately with less time. The novelty of this work is detecting various attacks, threats, viruses as well as giving the ranking alerts based on the severity and dangerousness of attacks.