Trusted Data Governance: Security, Privacy, and AI Workshop – August 31st and September 2nd – 6:00 pm to 9:30 pm ET

Course Code: TDG-CYBER101
Course Level: Foundational–Intermediate
Duration: Two Evenings (7 Hours Total)
Delivery: Virtual – Live via Microsoft Teams
CPEs: 7
Prerequisites: None. A basic understanding of cybersecurity, information security management, or risk management is helpful but not required.

Course Overview

Join ISSA-NOVA for an engaging two-evening virtual “Trusted Data Governance: Security, Privacy, and AI Workshop,” designed for cybersecurity professionals, security managers, governance practitioners, auditors, risk managers, and technical leaders seeking to understand how effective data governance strengthens cybersecurity and organizational resilience.

This practical, instructor-led workshop introduces the fundamental principles of data governance and demonstrates how organizations can manage data as a strategic enterprise asset. Participants will explore how trusted data governance supports confidentiality, integrity, availability, privacy, regulatory compliance, risk management, and informed organizational decision-making.

The workshop examines the core components of a modern data governance program, including governance structures, data ownership, stewardship, metadata management, data quality, data lineage, data lifecycle management, data classification, and security governance. Participants will also learn how policies, standards, decision rights, and organizational accountability contribute to the protection and responsible use of enterprise data.

The course explores how data governance supports federal cybersecurity and privacy initiatives through alignment with the NIST Cybersecurity Framework 2.0, NIST Privacy Framework, NIST AI Risk Management Framework, FISMA, FedRAMP, Controlled Unclassified Information requirements, and other federal guidance.

Participants will also examine governance considerations associated with cloud computing, artificial intelligence, machine learning, Zero Trust architectures, third-party data sharing, and supply chain risk. Through case studies, group discussions, practical examples, and end-of-module knowledge checks, attendees will learn how to identify governance challenges, establish accountability, improve data quality, reduce organizational risk, and integrate data governance into enterprise cybersecurity programs.

Designed for participants with foundational or intermediate knowledge of cybersecurity and risk management, this workshop emphasizes practical application. Participants will leave with a clearer understanding of how effective data governance enables stronger cybersecurity, supports regulatory compliance, improves organizational decision-making, and enhances the protection of critical information assets.

Course Materials Include

  • Expert instruction
  • Case studies and practical examples
  • Group discussions and guided activities
  • End-of-module quizzes and knowledge checks
  • Cybersecurity, privacy, AI, and federal governance references

Learning Objectives

By completing this workshop, participants will be able to:

  • Explain the fundamental principles of data governance and its relationship to cybersecurity, privacy, risk management, and organizational resilience.
  • Describe how data functions as a strategic organizational asset and why effective governance is essential for protecting and managing enterprise information.
  • Identify key data governance roles, including executive leadership, data owners, data stewards, data custodians, and governance councils.
  • Describe the components of an effective data governance framework, including policies, standards, decision rights, accountability, and organizational oversight.
  • Apply data classification, metadata management, and data lifecycle management principles to improve cybersecurity and regulatory compliance.
  • Explain the importance of data quality, master data, reference data, metadata, and data lineage in supporting secure and trustworthy business operations.
  • Integrate data governance concepts with the NIST Cybersecurity Framework 2.0, NIST Privacy Framework, NIST AI Risk Management Framework, and federal information security requirements.
  • Identify governance considerations associated with cloud computing, artificial intelligence, Zero Trust architectures, third-party data sharing, and emerging technologies.

Table of Contents

Module 0 – Introduction and Course Administration

Module 1 – Foundations of Data Governance

Module 2 – Data Governance Frameworks and Organizational Roles

Module 3 – Data Classification and Lifecycle Management

Module 4 – Metadata, Data Quality, and Trustworthy Data

Module 5 – Data Governance and Cybersecurity

Module 6 – Privacy, Risk Management, and Regulatory Compliance

Module 7 – Emerging Technologies and Data Governance

Who Should Attend

This workshop is ideal for:

  • Cybersecurity professionals
  • Security managers and technical leaders
  • Data governance and data management practitioners
  • Data owners, data stewards, and data custodians
  • Governance, Risk, and Compliance professionals
  • Auditors and assessors
  • Risk management professionals
  • Privacy and compliance professionals
  • Information System Security Officers
  • Enterprise and security architects
  • Cloud security and AI governance professionals
  • Federal employees and government contractors
  • Program and project managers
  • Records and information management personnel
  • Anyone responsible for managing, protecting, sharing, or governing organizational data

Pricing

ISSA-NOVA Members: Free

Members of Other ISSA Chapters: $50

Non-Members: $150

Each participant earns 7 CPEs and receives a certificate of completion based on attendance.

Registration

REGISTER: ISSA-NOVA Members Link:
https://docs.google.com/forms/d/e/1FAIpQLSeaFXgF-9QCRiMVaizlhp2SGr9eMpZTOuVFddT0e7N-Xw0sBA/viewform?usp=publish-editor

REGISTER: Members of Other ISSA Chapters Link:
https://square.link/u/B5ypso67

REGISTER: Non-Members Link:
https://square.link/u/kx5jlrhv

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