SKILL BENCHMARK

Predictive Analytics in Cybersecurity Literacy (Beginner Level)

  • 8m
  • 8 questions
Explore all Skills Benchmarks
The Predictive Analytics in Cybersecurity Literacy (Beginner Level) benchmark measures your knowledge of identifying the need for artificial intelligence (AI) in cybersecurity. You will be evaluated on your ability to recognize the uses and limitations of AI, classification models, and various evaluation metrics used in cybersecurity. A learner who scores high on this benchmark demonstrates that they have an awareness of why and how predictive analytics and AI are used in cybersecurity.

Topics covered

  • identify the details of the gas pipeline intrusion detection case study
  • identify use cases and limitations of AI in cybersecurity
  • outline the malware detection using machine learning (ML) case study
  • outline the results of the gas pipeline intrusion detection case study
  • recall how the precision, recall, the ROC curve, and the AUC metric work
  • recognize the confusion matrix and accuracy metrics
  • recognize the need for AI in cybersecurity
  • state the results of the malware detection using machine learning (ML) case study