AI Security Awareness Training

This AI Security Awareness Training covers the following topics:

  • AI in the Workplace
  • AI in Regulated Environments
  • Understanding Sensitive Data (PHI, PII, PCI)
  • AI Risk Awareness
  • Safe AI Use Guidelines
  • Accountability and Reporting
  • Responsible AI Governance
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Stats About the Course

Overview

Artificial Intelligence (AI) is rapidly transforming how organizations operate across industries. From drafting communications to analyzing data, AI tools offer powerful capabilities that improve efficiency and productivity. However, in regulated environments, improper AI use can introduce significant compliance, security, and reputational risk.

This online course provides a practical and governance-aligned approach to using AI safely and responsibly in the workplace. It is designed to help organizations reduce behavior-driven risk, protect sensitive information, and align with emerging global AI governance standards.

Course Content

This AI Security Awareness Training covers the following topics:

AI in the Workplace:
What artificial intelligence is, how generative AI tools function, and how they are commonly used across industries. Includes understanding the differences between automation and generative AI, and why input equals exposure.

AI in Regulated Environments:
How AI is used in healthcare, finance, legal, and other regulated industries, and why these environments require stricter data handling and oversight.

Understanding Sensitive Data:
How to identify and protect regulated and confidential information, including Protected Health Information (PHI), Personally Identifiable Information (PII), Payment Card Information (PCI), and proprietary business data.

AI Risk Awareness:
Where AI-related risks appear in real-world workflows, including data exposure, inaccurate outputs, intellectual property concerns, and shadow AI usage.

Safe AI Use Guidelines:
Practical, role-based guardrails for using AI responsibly, including approved tools, data minimization, verification of outputs, and proper usage across different job functions.

Accountability and Reporting:
A structured AI reporting protocol aligned with global governance frameworks, including how to recognize, document, escalate, and respond to AI-related incidents.

Responsible AI Governance:
How human oversight, transparency, and behavior-driven decision-making support compliance, protect organizational trust, and enable safe AI adoption.

Who should take this course:

Healthcare Providers and Medical Staff
Financial Services and Payment Processing Teams
Legal, Compliance, and Risk Management Professionals
IT, Cybersecurity, and Data Protection Teams
Customer Support and Client-Facing Roles
Sales, Operations, and Administrative Teams
Government Contractors and Regulated Industry Employees

This training is designed for any workforce member using or considering the use of AI tools in a professional setting.

AI risk is not limited to technical teams. It applies to anyone who interacts with data, communicates with clients, or uses AI to support their work.

This course requires no technical background and supports organizational AI governance, employee awareness, and audit readiness.