Network security today holds foremost importance to IT departments today and there is a need to encompass security methods that go far beyond just blocking unauthorized access to predictive modeling of these malicious attacks. Network-based intrusion detection systems offer highly effective protection against all intruder activities, malicious traffic, and con artist masquerading. Various machine learning techniques such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), Naive-Bayesian (NB), Random Forests (RF), and Self-Organized Maps (SOM), etc can be used to develop a NIDS. A combination of signature-based and anomaly-based systems can best secure the enterprise network as it ensures the detection of both known as well as Zero-day attacks.
DevOps is essentially a transformative methodology that encompasses culture, innovation, and technology in one single frame to efficiently organize workflows to achieve faster GTM at optimum costs and subsequently driving more value to customers. In the last one decade, this is the thought that has drove multiple companies to wholeheartedly imbibe DevOps into their corporate DNA. Infact, the early adoption of DevOps (albeit in their own versions) in larger tech companies like Google, Salesforce, Facebook and Netflix, has helped them scale their operations and at the same time continue to give excellent customer service.
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