
Explore enterprise security intelligence operationalization, from demonstrating value to real-time implementation, utilizing internal and external sources for effective threat analysis and strategic decision-making.

Explore graph-based security analysis techniques for enhanced threat detection and risk assessment in complex network environments.

Learn techniques for intercepting and analyzing mobile device traffic, enhancing your understanding of mobile security and network vulnerabilities.

Explore designing a big data platform for threat analytics, focusing on key concepts and strategies for effective cybersecurity monitoring and analysis.

Explore machine learning applications in cybersecurity, focusing on anti-cheat systems, big data analysis with Hadoop, and anomaly detection using decision trees and SVMs for enhanced threat prevention.

Explore effective metrics for communicating security insights to executives. Learn to present data visually, focus on business impact, and tell compelling stories that drive action and support.

Uncover deceptive statistical practices in information security and learn to critically analyze data presentations for more accurate risk assessments and decision-making.

Discover efficient network security analysis techniques using flow data to quickly identify threats without costly tools or extensive manpower.

Explore InfoSec data visualization techniques to transform security metrics into actionable business insights, enhancing decision-making and communication with leadership.

Learn to create BurpSuite extensions and automation rules. Explore API usage, custom tabs, serializers, and macros. Gain practical skills for enhancing web application security testing capabilities.

Explore automated processing for IOC analysis with TAPIOCA, covering data pivoting, OPSEC, atomic indicators, and tools for efficient threat intelligence gathering and analysis.

Explore techniques for creating and defeating machine learning anomaly detectors, with practical insights for real-world applications in cybersecurity.

Learn data science fundamentals for cybersecurity, including techniques for analyzing and visualizing security data to detect threats and enhance defenses.

Insights from analyzing vast amounts of malware data, covering detection techniques, threat intelligence, and cybersecurity best practices for defending against evolving threats.

Explore malvertising techniques, trends, and defenses. Learn about big data analytics, targeting strategies, and practical insights for both offensive and defensive cybersecurity professionals.

Learn techniques for detecting phishing attacks using DNS reconnaissance, enhancing your cybersecurity skills and protecting against online threats.

Explore social media risk metrics and algorithms, covering sentiment analysis, profiling techniques, and data collection methods for effective risk assessment and management.

Learn to intercept USB traffic for both offensive and defensive purposes, exploring techniques like Bad USB and defenses such as Vicar, with practical demonstrations and insights.

Explore HAR file collection and analysis techniques for malware detection, focusing on innovative approaches to enhance cybersecurity and threat intelligence.

Explore advanced techniques for efficient enterprise-scale threat detection and triage, focusing on identifying critical security issues amidst vast amounts of data.

Explore key management challenges in large organizations, data protection strategies, and the need for human-readable, machine-enforceable policies in this insightful talk by a former Citi executive.