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Big Data and Analytics Strategy for Cybersecurity and Privacy

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the intersection of big data, advanced analytics, and cybersecurity in this insightful panel discussion featuring industry experts. Delve into strategies for threat hunting, detection, and security intelligence analysis in modern enterprises. Learn how to leverage big data, edge computing, machine learning, and behavioral analytics to combat sophisticated cyber threats and zero-day attacks. Gain valuable insights on streamlining Security Operations Centers (SOCs) and implementing data redaction techniques. Examine the impact of regulatory landscapes and cybersecurity frameworks on technology requirements and stakeholder expectations. Discover how proactive security and privacy measures can be implemented to protect businesses and their customers in an era of exponentially increasing data volumes and evolving cyber threats.

Syllabus

Big Data and Analytics Strategy at the Heart of Cybersecurity and Privacy

Taught by

Toronto Machine Learning Series (TMLS)

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