Threat Forecasting: Leveraging Big Data for Predictive Analysis

Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk.

• Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools
• Explores the usage of kill chain modelling to inform actionable security intelligence
• Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size

《威脅預測：運用大數據進行預測分析》借鑒多年的實踐經驗，並使用眾多例子和實證案例，討論了重要的主題，包括使用歷史數據作為預測未來違規行為的基礎的危險性，如何將安全情報作為開發威脅預測技術的工具，以及如何使用威脅數據可視化技術和威脅模擬工具。讀者將獲得有關非結構化大數據的寶貴安全見解，以及如何利用這些數據減少風險的策略。

本書呈現了案例研究和實際數據，以展示威脅數據可視化技術和威脅模擬工具的應用。探討了使用殺鏈模型來提供可行的安全情報的用途。並展示了一種可以用於創建企業網絡任何規模的完整威脅預測分析的方法論。