Artificial Intelligence in Financial Services 2025
Page 16 of 27 · WEF_Artificial_Intelligence_in_Financial_Services_2025.pdf
Another serious, and related, threat is the ability of
genAI to create and disseminate synthetic (fabricated
or deepfake) content. This risk has grown as both
the ability and accessibility of genAI have increased,
as evidenced by a 223% spike in deepfake-related
tool trading on dark web forums in the first quarter
of 2024, compared to the same period in 2023.16
Plausible images, video and voices can be created
with remarkable ease to impersonate familiar figures
to induce fraudulent transactions or other behaviour.
For example, a finance worker at a multinational
firm was summoned on to a video call, ostensibly
by his chief financial officer and other members of
staff, and was instructed to transfer $25 million to an
account controlled by fraudsters.17 As is often the
case with consumers who are duped by deepfakes
of family members, the finance worker did not
suspect that the chief financial officer and other
colleagues on the call were computer generated
and part of an elaborate scam. It doesn’t take much
imagination to appreciate how incidents such as this
could negatively impact financial markets and the
global economy. Although the above risks, and others, have been
exacerbated by AI, the technology is also being
used to detect and/or prevent threats. To an
increasing degree, AI is providing:
–Authentication technology: Uses digital
watermarks or metadata that are embedded
in new content at the time of creation to help
prove its authenticity.18
–Detection technology: Scours a vast
landscape of activity to identify potential threats.
It is also able to act, autonomously in some
cases, to nullify detected threats. For example,
it can recognize fake content without needing
to compare it to the original,19 and it can
swiftly examine the code within an application
to determine whether its purpose is benign
or malicious.20
Another serious,
and related, threat
is the ability of
genAI to create
and disseminate
synthetic
(fabricated or
deepfake) content.
Artificial Intelligence in Financial Services 16
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