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
John Pirc has more than 19 years of experience in Security R&D, worldwide security product management, marketing, testing, forensics, consulting, and critical infrastructure architecting and deployment. Additionally, John is an advisor to HP's CISO on Cyber Security and lectured at the US Naval Post Graduate School.
John extensive expertise in the Security field stems from past work experience with the US Intelligence Community, as Chief Technology Officer at CSG LTD, Product Manager at Cisco, Product Line Executive for all security products at IBM Internet Security Systems, Director at McAfee's Network Defense Business Unit, Director of Product Management at HP Enterprise Security Products, Chief Technology Officer at NSS Labs, Co-Founder and Chief Strategy Officer at Bricata, LLC and most recently as Director of Security Solutions for Forsythe Technology.
In addition to a BBA from the University of Texas, John also holds the NSA-IAM and CEH certifications. He has been named security thought leader from SANS Institute and speaks at top tier security conferences worldwide and has been published in Time Magazine, Bloomberg, CNN and other tier 1 media outlets.