Question 7SecOps engineering tools are often based on machine learning, deep learning, and artificial intelligence— that provide either stand-alone, embedded, or add-on functionality to detect evidence of a security compromise.1 pointTrueFalse
Question
Question 7SecOps engineering tools are often based on machine learning, deep learning, and artificial intelligence— that provide either stand-alone, embedded, or add-on functionality to detect evidence of a security compromise.1 pointTrueFalse
Solution
True.
SecOps (Security Operations) engineering tools often leverage advanced technologies such as machine learning, deep learning, and artificial intelligence. These technologies can be integrated in various ways—either as stand-alone tools, embedded within other systems, or as add-on functionalities. Their primary purpose is to enhance the detection and response capabilities for identifying evidence of security compromises. By using these advanced techniques, SecOps tools can analyze vast amounts of data, recognize patterns, and detect anomalies that may indicate a security threat.
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