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Despite the hype about AI and ML, a lot of misperceptions make a headway about ML, AI and their utility in information security. Securing the vital data is one of the top priorities in most of the organizations. Before using these technologies, the organization should be aware about the security vendors and the real capabilities of ML and AI of each product or service offered by them.
Understanding the difference
Artificial Intelligence is one of the areas of computer science that enables machines to mimic human intelligence. There are several ways; among them, machine learning is crucial which can be used to analyze the behavior of data present in networks. An organization should focus on ML/AI solution at each point on how the data will be more secure in a more comprehensive way.
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Be conscious about the Flexibility
Every enterprise is different and that includes the security needs. Before selecting the AI/ML security models, organization owners must ensure the model which is opted can be altered by the customer and also whether it works on various types of data or not.
Allowable data types
Applying AI/ML on data can bolster data security. However, before implementing these models, one should know about the suitable data types of these models like audio, video and other transactional data.
A solution to new approaches
Getting information from security vendors about the AI/ML workflows, development and testing a give overview of the process which may lead to the development of new approaches in the provision of information security.
At some instances, the techniques mentioned above may not be enough to secure data and network. These technologies should be known to security professionals for developing better security solutions. Therefore AI and ML can save companies from data breaches by allowing security professionals to remediate each threat more quickly and precisely.