Deepfake: when AI imitates a face or a voice
A deepfake is content (voice, image, video) generated or modified by artificial intelligence to realistically imitate a real person. The quality of these generations has improved significantly, making some fakes difficult to distinguish with the naked eye or ear.
Definition
Technically, a deepfake relies on learning models trained from voice samples or images of the person being imitated, often publicly available (interviews, social media). The more samples there are, the more realistic the imitation becomes.
For a company, the most concrete risk is fraud: a cloned voice imitating an executive can support an urgent wire transfer request, a modern variant of CEO fraud. Procedural vigilance — systematic double validation of sensitive payment orders — remains the most reliable protection.
Key points
A realistic imitation by AI
The voice or image of a real person, reproduced from samples that are often publicly accessible.
A risk of executive fraud
A cloned voice can support an urgent wire transfer request, as a continuation of classic CEO fraud.
Procedure before technology
Systematic double validation of sensitive payments neutralizes most of the risk, regardless of the quality of the deepfake.
How BCIT can support you
This risk is covered in our training courses on cybersecurity awareness, en complément de notre volet social engineering.
Frequently asked questions ❓
How can you protect yourself from voice deepfake fraud?
A systematic double-validation procedure for every sensitive wire transfer neutralizes most of the risk, regardless of the quality of the deepfake.
Are deepfakes easy to spot?
Less and less so: recent models produce highly convincing results, shifting protection toward procedures rather than relying solely on human vigilance.
Not ready to talk yet? Discover our cybersecurity assessment →
Would your payment procedures withstand a deepfake?
Let’s raise your finance teams’ awareness of this emerging risk.
Deepfake: when AI imitates a face or a voice
A deepfake is content (voice, image, video) generated or modified by artificial intelligence to realistically imitate a real person. The quality of these generations has improved significantly, making some fakes difficult to distinguish with the naked eye or ear.
Definition
Technically, a deepfake relies on learning models trained from voice samples or images of the person being imitated, often publicly available (interviews, social media). The more samples there are, the more realistic the imitation becomes.
For a company, the most concrete risk is fraud: a cloned voice imitating an executive can support an urgent wire transfer request, a modern variant of CEO fraud. Procedural vigilance — systematic double validation of sensitive payment orders — remains the most reliable protection.
Key points
A realistic imitation by AI
The voice or image of a real person, reproduced from samples that are often publicly accessible.
A risk of executive fraud
A cloned voice can support an urgent wire transfer request, as a continuation of classic CEO fraud.
Procedure before technology
Systematic double validation of sensitive payments neutralizes most of the risk, regardless of the quality of the deepfake.
How BCIT can support you
This risk is covered in our training courses on cybersecurity awareness, en complément de notre volet social engineering.
Frequently asked questions ❓
How can you protect yourself from voice deepfake fraud?
A systematic double-validation procedure for every sensitive wire transfer neutralizes most of the risk, regardless of the quality of the deepfake.
Are deepfakes easy to spot?
Less and less so: recent models produce highly convincing results, shifting protection toward procedures rather than relying solely on human vigilance.
Not ready to talk yet? Discover our cybersecurity assessment →
Would your payment procedures withstand a deepfake?
Let’s raise your finance teams’ awareness of this emerging risk.