Free Download Threat Hunting with Data Science and Splunk for Beginners
Published 5/2024
Created by Mohammad Mirasadollahi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 27 Lectures ( 1h 26m ) | Size: 4.5 GB
Cybersecurity Analysis and Threat Hunting in SOC for Cybersecurity Analysis with Data Science and Splunk
What you'll learn:
Data Science Fundamentals for Cybersecurity
Cybersecurity Threat Detection Techniques
Hunting 0-Day Attacks
Anomaly Detection with Splunk and MLTK app
Requirements:
Basic Knowledge of Network and Cybersecurity
Basic Knowledge of Splunk
Basic Knowledge of Splunk Search Processing Language (SPL)
Description:
Welcome to "Threat Hunting with Data Science and Splunk for Beginners," course where we dive into the exciting realm of cybersecurity and equip you with the foundational skills needed to detect and mitigate cyber threats using Splunk and Data Science. Throughout this course, we'll focus on the seamless integration of data science techniques with Splunk, empowering you to become a proficient cyber defender.In today's digital landscape, cyber threats are evolving rapidly, posing significant risks to organizations and individuals alike. That's why proactive threat detection is paramount, and this course is your gateway to mastering the art of threat hunting using basics of data science methodologies within the Splunk environment.We'll start by laying the groundwork with an introduction to Splunk and its capabilities in threat detection. You'll learn how Splunk serves as a central hub for ingesting, analyzing, and visualizing vast amounts of security data, enabling organizations to identify and respond to threats in real-time.Next, we'll delve into the world of data science and its integration with Splunk. You'll discover how data science techniques such as statistical analysis, machine learning, and natural language processing can augment Splunk's capabilities, allowing for deeper insights and more accurate threat detection.Throughout the course, we'll explore practical use cases where data science intersects with Splunk to enhance threat detection efficacy. From identifying anomalous user access patterns to detecting suspicious network traffic and uncovering malware activities, you'll gain hands-on experience in leveraging data science techniques within the Splunk environment to proactively hunt down cyber threats.But we won't stop there. We'll also delve into Splunk's Machine Learning Toolkit (MLTK), a powerful suite of tools that enables you to build and deploy custom machine learning models for threat detection. You'll learn how to harness the MLTK's capabilities to create predictive models that can automatically identify and mitigate emerging threats.By the end of this course, you'll emerge with a comprehensive understanding of how data science and Splunk intertwine to form a formidable defense against cyber threats. Whether you're new to cybersecurity or looking to deepen your expertise, "Threat Hunting with Data Science and Splunk for Beginners" will empower you to take your threat detection skills to the next level and make a meaningful impact in securing digital assets.
Who this course is for:
Security Operations Center (SOC) analysts
Cybersecurity Threat Hunters
Splunk Engineers
Threat Intelligence Analysts
DFIRs
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