YoVDO

Sherlock Holmes - Finding Threats We Didn’t Know We Were Looking For

Offered By: RSA Conference via YouTube

Tags

RSA Conference Courses Data Analysis Courses Cybersecurity Courses Risk Mitigation Courses Threat Detection Courses

Course Description

Overview

Explore the power of human intuition, visualization, and abductive reasoning in cybersecurity threat detection through this 58-minute webcast from RSA Conference. Delve into Chief Technology Officer Kara Nance's presentation on finding unknown threats in complex data sets, transforming them into actionable intelligence. Learn techniques for identifying anomalies, understanding the limitations of computers versus human capabilities, and leveraging visualization tools to uncover hidden patterns. Discover practical applications in various scenarios, including ATM data analysis, Twitter data examination, and CPU utilization monitoring. Gain insights into the scientific method, objective reasoning, and the psychological aspects of threat identification. Enhance your ability to detect and mitigate real-world security challenges by harnessing the unique problem-solving capabilities of the human brain in conjunction with advanced analytical tools.

Syllabus

Introduction
Karenance Introduction
Reverse Engineering
Science
Humans vs Computers
Analysis
The Human Brain
Challenges
Identifying Differences
Algorithms
Decoding
Problems
Turn off computer
Everyone has failed
Whats wrong with this picture
Correlation causation
Psychological projective test
Brute force algorithm
Cyber security
Visualization
Scientific Method
Objective Reasoning
Cyber Security Examples
Cyber Security Data
ATM Data
Send Me Data
Bipartite Visualization
Twitter Data
CPU Utilization
People Who Identify Anomalies


Taught by

RSA Conference

Related Courses

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX