AI Deepfakes

What’s covered

• The Anatomy of a Deepfake: Understanding the AI and machine learning techniques used to swap faces and clone voices.

• The Spectrum of Synthetic Media: Distinguishing between “cheapfakes” (basic edits) and sophisticated, high-end deepfakes.

• High-Risk Scenarios: Identifying how deepfakes are used in business email compromise (BEC), social engineering, and misinformation campaigns.

Learning outcomes

What you will learn

By the time you finish this course in Deepfake Awareness, you should have acquired knowledge and skills that you’ll be able to use right away in your work to safeguard your organisation’s data, reputation, and financial assets from synthetic identity fraud.

Identify

This course will help you to understand…

• Visual Glitches and Artifacts: How to spot unnatural eye movements, skin smoothing, and “blurring” around the edges of a face.

• Audio Irregularities: Recognizing robotic cadences, strange breathing patterns, or lack of background noise in cloned voice calls.

• Contextual Red Flags: Assessing the urgency and “weirdness” of a request, even if the source looks and sounds like a trusted executive.

React

This course will give you the ability to…

• Implement Challenge-Response Protocols: Use specific, non-obvious questions to verify a caller’s identity in real-time.

• Deploy Verification Workflows: Establish multi-channel authentication before acting on high-stakes requests or financial transfers.

• Report and Escalate: Follow the correct internal procedures to alert IT and security teams when a synthetic media threat is detected.