Seminar Outline Day 1:
Advanced Threats: Mastering the Complex Dynamics
of Modern Cybersecurity

We are witnessing an era where advanced threats, powered by sophisticated AI and advanced psychological techniques, are being wielded by attackers to breach organizational defenses globally. These multifaceted threats leverage cutting-edge technology and human psychology to exploit vulnerabilities. This session, tailored for IT auditors and cybersecurity experts, will utilize case studies and the latest research to enhance our understanding of and capabilities to mitigate these threats. We will explore a range of critical topics, including profiles of advanced threats, new research on insider threats, and the use of fraud profiling to address complex cybersecurity challenges. The session will delve into the essentials of anomaly detection, audit assets, effective access control, and robust audit trails. Additionally, we will discuss the governance of threat programs and the refinement of best practices for controls.

Major Subjects

• Advanced Threat Profiling
• Insider Threat: Latest Insights related to Advanced Threats
• Using Fraud Profiling Techniques Against Advanced Threats
• Audit Assets and Audit Trail Analysis for Advanced Threats
• Advanced Strategies for Anomaly Detection
• Advanced Access Control Techniques
• Oversight of Threat Management Programs
• Review of Audit Log Procedures
• Best Practice Refinements for Control Mechanisms

Learning Objectives

• Identify 3 characteristics of an advanced threat profile.
• List at least 2 fraud profiling strategies used to combat advanced threats.
• Identify 3 critical assets for effective audit trail management.
• Identify at least one “advanced” strategy for anomaly detection.
• Design an effective access control management system to combat advanced threats.

Seminar Outline Day 2:
Data Science and AI for Non-Data Scientists

This talk is an interactive and unintimidating exploration of the key points audiences need to learn about AI and data science. We’ll take a practical, step by step walk through procedures that can be used to explore data, identify opportunities to use AI, and best methods of building predictive algorithms. We will specifically identify analytical tools and statistical methods that are appropriate for a variety of needs and take a tour of a statistical program, see how analytical procedures are conducted and how the output is analyzed. We will review machine learning, data mining, natural language processing, and brain computer interfacing. This is a perfect session for those wanting to learn practical ways to apply data science and cognitive technologies in their work.

Major Subjects

• How to spot practical opportunities to use AI
• How to build a predictive algorithm
• Analytical methods appropriate for different types of data
• Approaches that are effective for different types of problems
• Methods to explore your data to find deeply hidden patterns
• Assessing reliability and validity
• Dealing with large numbers of variables
• Handing unstructured data
• Where to begin, how to learn more, how to access appropriate software

Learning objectives

• Attendees will learn to leverage the differences between artificial intelligence and human judgement to improve professional judgment and decision-making.
• Attendees will learn to recognize the strengths and weaknesses of human reasoning processes and algorithmic processes and use that knowledge to avoid biases and leverage insight.

Level: Intermediate

Prerequisites: A minimum of two years’ experience in IT audit,
or a comparable field.

Advanced Preparation: Not required

Who Should Attend: Cybersecurity Professionals, IT Audit Specialists, Certified Public Accountants (CPAs), Governance, Risk, and Compliance (GRC) Officers, Network Security Managers, Information Security Analysts, Compliance Audit Managers, Risk Assessment Professionals, Corporate IT Managers, Data Privacy Specialists, Chief Information Security Officers (CISOs), and Information Systems Auditors. 

Level: Basic

Prerequisites: None

Advanced preparation: Not required

Who Should Attend: Analysts, auditors, governance and compliance professionals, and those working in the IT, HR, legal, and medical professions as well as executives, policymakers and other decision makers who want to gain a better understanding of how to apply AI and cognitive technologies in their work.