Deepfake Awareness: How to Train Your Staff to Detect AI-Generated Audio and Video

Most people, when told that AI can now generate convincing audio and video of real people saying things they never said, have a theoretical understanding of the risk. They have read about it or seen it mentioned in passing. That theoretical understanding is worth very little when someone receives a WhatsApp voice message that sounds exactly like their CFO asking them to process an urgent payment. The gap between knowing that deepfakes exist and being able to trust your own judgment when you encounter one is exactly where organisations are currently exposed.

The use of AI-generated audio and video in fraud is not a future risk. Documented cases exist of organisations losing significant sums because a staff member received a convincing audio deepfake of a senior leader and acted on it. In the Australian context, where organisations handle significant financial transactions and executives have publicly available audio and video for voice and image cloning, the risk is real and present. Training people to respond to this risk requires more than a slide listing detection tips.

Why Slide Deck Training Fails for Deepfakes

Cognitive bias is the core problem. People who have been told to watch for certain signals in a controlled training environment do not automatically apply that vigilance when they encounter something that feels authentic in a real-world context. A voice message from an apparently known person, arriving through a channel the person uses regularly, triggers familiarity and trust before any analytical process kicks in. By the time the person is deciding whether to act on the request, the emotional response has already done significant work.

Training that describes deepfake techniques without creating a direct experience of being fooled by one does not build the visceral wariness that changes actual behaviour. Reading that AI can clone a voice is a very different experience from hearing a voice you recognise saying something you know to be false, and feeling your own uncertainty about whether it is real. That experience, encountered in a safe and controlled setting where the lesson can be immediately drawn, is what produces lasting behavioural change. It creates a felt sense of the risk rather than a purely conceptual one.

What Effective Deepfake Training Includes

Live demonstration is the centrepiece of effective deepfake awareness training. We run sessions where participants see and hear realistic deepfake audio and video in controlled conditions, walk through the experience of assessing authenticity under time pressure, and then debrief on what signals were present (or absent) and what habits would have protected them. The demonstration format creates the direct experience that slide decks cannot provide, and the debrief converts that experience into transferable recognition skills and response habits.

The response habits are as important as the detection signals, because detection is not always possible. AI-generated audio quality has reached a point where many people cannot reliably distinguish it from real audio. The appropriate training response is to build a verification habit that does not depend on correct identification. Any unexpected request for financial action or sensitive information arriving through an audio or video channel, regardless of how authentic it sounds, should trigger a verification step through a different, known channel. Call the person back on their office number. Check through a colleague. Do not act on the audio message alone.

Which Staff Need Deepfake Training

Finance staff who receive payment instructions are the primary target group for audio deepfake fraud. Executive assistants who act on instructions from senior leaders are a close second. Executives themselves are targeted for impersonation and also need training on the risk of their own voice and image being used without their knowledge. Organisations that have public profiles, operate in sectors with large financial flows, or have executives with significant media presence face elevated deepfake risk.

We have delivered deepfake awareness training to a range of organisations in health and not-for-profit sectors in Australia, including situations where executives have appeared publicly in interviews and video content that provides material for voice cloning. The training content for these clients is calibrated to their specific profile: the channels through which they are most likely to be targeted, the types of requests that would be most plausible, and the verification habits most relevant to their operations.

Building the Verification Habit

Verification through a second channel is the primary behavioural outcome deepfake training should produce. This habit needs to be normalised and explicitly sanctioned by leadership, because the friction it creates is real. Calling back to confirm a voice message instruction takes time and may feel unnecessary in most cases. The training programme needs to make clear that this friction is intentional and valued, not a sign of distrust or inefficiency. When leadership models this behaviour, staff are far more likely to maintain it under pressure.

• AI-generated audio deepfakes are being used in active financial fraud campaigns.
• Slide-based training does not create the felt experience needed for behaviour change.
• Live demonstrations in controlled settings are significantly more effective.
• Detection skills matter, but verification habits are more reliable as a defence.
• Finance staff, executive assistants, and executives are the highest-priority training groups.
• Leadership must model verification behaviour for it to be sustained.

Cyberlinx runs live deepfake demonstration sessions for organisations that want to build genuine staff awareness of AI-enabled fraud. Contact us at info@cyberlinx.com.au to discuss what a session would look like for your team.