Impersonation - Detection & Response eLearning Course
Overview
Spoofing, deepfakes, voice cloning, and AI-driven scams - impersonation attacks are becoming increasingly sophisticated, convincing, and dangerous across email, voice, SMS, and social media channels. This course exposes exactly how cybercriminals exploit trust, familiarity, and urgency to manipulate individuals and infiltrate organisations, then puts that knowledge to the test through decision-based scenarios and interactive detection challenges. Learners sharpen their ability to identify behavioural red flags, verify suspicious communications, and respond confidently under pressure - not just recognise threats in theory.
Learning Objectives:
- Recognise common impersonation tactics across email, voice, SMS, and social media
- Identify indicators of spoofed, cloned, or manipulated communications
- Apply effective verification and response techniques under pressure
- Make informed decisions when faced with suspected impersonation attempts
- Understand how emerging AI technologies are reshaping social engineering threats and how to mitigate them
Target Audience:
All employees, with particular relevance for those in finance, HR, procurement, executive support, and anyone who regularly communicates externally or handles sensitive authorisations.
Features & Benefits:
- Interactive detection challenges using real-world impersonation scenarios
- Covers deepfakes, voice cloning, spoofing, and AI-driven scams
- Decision-based learning that conditions judgement, not just awareness
- Built to neurodiverse-friendly design standards
- AI-enhanced visuals, avatars, and voiceovers
- SCORM/xAPI compliant
This course has a minimum of 25 learner registrations for us to provide a quotation.
Request a Quotation- Language
- UK
- Date last updated
- 7/22/2026
- Duration
- 48 Minutes
- Suitable Devices
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- PC
- Tablet
- Audio is Required
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- Yes
- Includes Video
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- Yes
- Downloadable Resources
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- Linked within Course
- Transcripts
- Completion Criteria
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- Pass final test
- Visit all pages
- Pass Mark
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- 80% pass mark required
- Course Technology
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- HTML5
- SCORM 1.2
- Can be customised
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- Available at an Additional Cost
- Accreditation or Endorsements
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- No
- Languages
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- Closed Captions
- English