Key takeaways
✓Deepfake fraud uses AI-generated audio or video to impersonate executives, tricking finance staff into approving transfers or sharing credentials. Losses in documented cases have reached into the tens of millions of dollars.
✓The attack almost always exploits a process gap, not just a technology gap. A convincing voice clone means nothing if a second, out-of-band verification step is already required.
✓Australian organisations are attractive targets because wire transfer volumes are high and many finance teams still rely on a single approval channel for urgent requests.
✓The most effective controls combine a clear verification protocol with staff who have been trained to recognise pressure tactics, not just technical red flags.
✓Training is the one control that travels with your people across every channel, device, and scenario an attacker might try.
What exactly is deepfake fraud, and why should CFOs care?
Deepfake fraud is financial crime that uses AI-generated audio, video, or text to impersonate a trusted person, most often a senior executive, and trick someone in finance into authorising a payment or handing over credentials. The impersonation can be so convincing that a trained employee, acting in good faith, approves a transfer of hundreds of thousands of dollars before anyone realises what happened.
The word "deepfake" originally described manipulated video. Today it covers a broader set of techniques: cloned voices generated from a few seconds of publicly available audio, synthetic video of a CEO appearing live on a call, and AI-written messages that replicate an executive's tone and phrasing well enough to pass a quick read. Attackers combine these tools with social engineering, meaning they study the target organisation first, find out who approves payments and who they report to, then construct a scenario that feels urgent and internally consistent.
Finance teams are the primary target because they hold the keys. Accounts payable staff, treasury analysts, and CFOs themselves control bank transfers, supplier payment details, and access to financial systems. A successful attack does not need to breach any software. It only needs one person to believe they are following a legitimate instruction.
The threat is already here
The Australian Cyber Security Centre has documented business email compromise and impersonation fraud as among the costliest cyber-enabled crimes affecting Australian organisations. AI tools have made the impersonation component significantly cheaper and faster to execute, lowering the barrier for attackers who previously needed specialist skills.
The financial stakes are real. Business email compromise (BEC), the category of fraud that deepfake attacks belong to, costs Australian businesses hundreds of millions of dollars each year according to the ACCC's Scamwatch and the Australian Federal Police. AI-enhanced versions of these attacks are harder to detect than traditional phishing because the impersonation is no longer text-only and no longer riddled with the grammatical errors that once served as a warning sign.
For a CFO, the exposure is not just the direct loss. A successful attack can trigger regulatory scrutiny, damage relationships with boards and auditors, and create serious reputational harm if details become public. In some cases, depending on how controls were documented and followed, there may be personal accountability questions too.
How do these attacks actually work?
Most deepfake fraud attempts against finance teams follow a recognisable sequence. Understanding the steps makes the attack far easier to spot before money moves.
Step one: reconnaissance
Before anyone picks up a phone or sends an email, the attacker does research. LinkedIn, company websites, press releases, earnings calls, and even podcast appearances are all mined for detail. The goal is to identify who approves payments, who has authority to instruct finance, and what a plausible request might look like. An acquirer announcement, a restructure, or a new supplier relationship gives the attacker a ready-made cover story.
This stage can take days or weeks. By the time contact is made, the attacker already knows your CFO's name, your CEO's speaking style, and roughly what a large transfer request looks like in your organisation.
Step two: the trigger
The attack typically opens with a low-tech message: an email, an SMS, or a message in a collaboration tool like Teams or Slack. The message is designed to create urgency and prime the target to expect a follow-up call. "The CEO needs to speak with you about a confidential acquisition payment" is a common pattern. The word "confidential" does a lot of work here. It explains why the request is bypassing normal channels and pre-empts the target from consulting colleagues.
Step three: the call
This is where the deepfake enters. A voice clone, assembled from publicly available audio recordings, places a call to a finance team member. The voice sounds like the CEO, the CFO of a parent company, or an external legal adviser. It repeats the story from the email, adds specific-sounding detail (deal value, counterparty name, settlement deadline), and applies pressure to act before end of day.
In more sophisticated attacks, the call uses real-time voice synthesis, meaning the voice responds naturally to questions rather than playing a pre-recorded script. Video deepfakes are less common in payment fraud today, but they have been used in "board meeting" scenarios where a finance officer joins a video call and sees what appears to be multiple senior executives confirming an instruction.
The detail is the deception
Deepfake fraud works because the attacker knows enough about your organisation to make the request sound routine. The voice or face is the last layer of convincing. The groundwork was laid long before the call.
Step four: the payment instruction
Once the target is primed, the instruction arrives, usually in writing as a follow-up to the call, so there is a paper trail that appears to support it. The account details are new, often explained as a "settlement account" or "escrow account" for the deal in question. The amount is large enough to be worthwhile but not so large as to trigger an automatic secondary review.
The attacker's window is tight. They want the payment processed before anyone checks, before the target mentions it to a colleague, and before a callback to the real executive reveals the fraud. Urgency is the mechanism that closes that window.
Why standard controls often fail here
A finance team member following what looks like a direct instruction from the CEO, confirmed by a phone call from someone who sounds exactly like the CEO, is not being careless. They are being deceived by a technically sophisticated attack built specifically to defeat ordinary trust signals.
Email verification, caller ID, and even a familiar voice are no longer sufficient. The fraud targets the human verification step, not the technical one. That is why procedural controls, specifically a verified callback protocol using a number held independently of the transaction request, are the most effective single countermeasure available today.
Which Australian organisations are most at risk of deepfake fraud?
No organisation is immune, but certain characteristics concentrate the risk considerably. The common thread is not company size but the gap between financial authority and human verification.
Remote and distributed finance teams
When the person approving a payment has never met the CFO in person, or works across a different time zone, the social cues that expose impersonation disappear. A video call with a convincing likeness and a plausible voice becomes the whole interaction. Many Australian organisations accelerated remote work arrangements post-2020 and have not revisited the verification assumptions baked into their payment workflows since.
Fast-moving deal and transaction environments
Attackers study their targets before striking. They look for moments when urgency is already present: a live acquisition, a refinancing, a large supplier contract close to settlement. Finance teams in sectors like property, professional services, and resources are accustomed to receiving large-value instructions at speed. That cultural norm is exactly what a deepfake attack exploits. The instruction feels normal because similar instructions genuinely do arrive this way.
Organisations with thin second-line oversight
A finance function where one senior person can initiate and approve a significant transfer, without a mandatory peer review, is structurally exposed. This is more common than many boards realise, particularly in mid-market businesses that have grown quickly and not yet formalised their controls. The attacker does not need to fool a committee. They need to fool one person on one call.
The gap attackers exploit
Deepfake fraud does not rely on technical failure. It relies on organisations where a single, convincing interaction is enough to move money. The control failure is procedural, not technological.
High-turnover or newly onboarded staff
New employees in accounts payable or treasury are especially vulnerable. They are less likely to question a senior leader's instruction, less familiar with normal patterns of communication, and often eager to demonstrate competence by acting quickly. An attacker who has done basic research, checking LinkedIn for recent appointments, for instance, can time a call to coincide with someone's first weeks in a role.
Businesses with publicly visible leadership
The more information available about your executives online, the easier it is to build a convincing deepfake. A CFO who regularly appears in conference recordings, earnings calls, or media interviews provides training material for voice and video cloning. This is not a reason to withdraw from public life, but it is a reason to understand that public visibility changes your organisation's threat profile.
The honest summary: any Australian business with financial authority, a distributed team, and time pressure in its payment workflows carries meaningful exposure. The question is not whether you are a target. It is whether your controls would hold if someone convincingly impersonated your CEO tomorrow.
What controls can a CFO put in place today?
The most effective controls combine process, policy, and people. Technology alone will not stop a well-crafted deepfake attack, because the attacker is exploiting trust in human judgment, not a software vulnerability.
Rebuild your verification protocol for high-value payments
The single highest-impact change is introducing a mandatory out-of-band verification step for any payment or transfer above a defined threshold. "Out-of-band" means using a separate, pre-established channel to confirm the request, not the phone number or email address supplied in the request itself.
A workable baseline:
Set a threshold. Many Australian organisations start at AUD 10,000 for a secondary check and AUD 50,000 for a two-person approval. Calibrate to your transaction volumes.
Call back on a known number. Your finance team should maintain a verified contact list, updated quarterly, for executives and key suppliers. If a CFO or CEO calls requesting urgent action, the receiver hangs up and dials the listed number.
Require verbal and written confirmation. A follow-up email to the legitimate address, plus a callback, creates a paper trail and catches most impersonation attempts.
Never treat urgency as authorisation. Attackers manufacture time pressure specifically because it bypasses deliberate thinking. A policy that explicitly permits a 30-minute delay on any urgent request removes the lever.
For a deeper look at structuring these steps, the sibling article on how to build a verification protocol for high-stakes requests covers the full decision framework.
Tighten your payment change controls
Business email compromise (BEC) and deepfake attacks frequently target supplier bank account changes, not just one-off payments. A supplier calls, someone who sounds exactly like your usual contact asks to update their account details, and the next payment goes somewhere else entirely.
Controls to implement:
Require bank account changes to be confirmed via a second channel independently of the person requesting the change.
Freeze new or changed account details for one payment cycle before they go live, giving your team time to verify.
Flag any payment going to an account that has not received a payment in the last 90 days for manual review.
Update your delegation of authority matrix
Many organisations have a formal delegation of authority (DOA) document that sets out who can approve what. Review yours with deepfake fraud in mind. Specifically:
No single person should be able to initiate and approve a large payment without a second signatory.
Verbal instructions from executives, even confirmed ones, should not be sufficient on their own for transfers above your threshold.
Out-of-hours requests should require an additional approval step, because attackers deliberately target Friday afternoons and public holidays when oversight is reduced.
The urgency signal is the attack
Deepfake fraud almost always relies on manufactured urgency. Any process that normalises a delay of 15 to 30 minutes on high-value requests removes the attacker's most reliable tool. Build that delay in as a policy, not a courtesy.
Apply technical controls at the network and email layer
Technical controls will not stop a determined attacker, but they raise the cost of an attack and catch opportunistic attempts.
DMARC, DKIM, and SPF. These email authentication standards make it harder to spoof your own domain. If your organisation has not fully implemented all three, that is a gap worth closing this quarter. Your IT team or managed service provider can confirm your current status.
Multi-factor authentication (MFA) on finance systems. Any system used to initiate or approve payments should require MFA. Authenticator apps are more resistant to SIM-swap attacks than SMS codes.
Call authentication for known suppliers. Some Australian banks and enterprise telephony providers now offer caller verification tools. These are not foolproof, but they add friction.
Monitor for unusual payment patterns. Many finance platforms and ERP systems include anomaly detection. If yours does, make sure it is switched on and that alerts go to someone who acts on them.
Brief your finance team now, before an attack arrives
Controls written into policy documents do not protect anyone unless the people in your team understand them and feel empowered to act on them. A finance officer who receives an urgent call that sounds exactly like the CFO needs to know, in advance, that they will not be in trouble for asking for verification.
That cultural permission matters as much as the process itself. Make it explicit: following the verification protocol is the right action, regardless of who appears to be calling.
Structured training is the most reliable way to build this muscle. The Better People AI Scam and Deepfake Awareness workshop is designed specifically for teams who need to recognise these attacks and respond to them without freezing or second-guessing the protocol.
Why training is the control that scales
Process controls matter. Callback verification, dual-approval workflows, out-of-band confirmation, these are all worth implementing. But a policy document sitting in SharePoint does not protect your finance team at 4:45 on a Friday afternoon when a convincing video call arrives from what appears to be the CFO asking for an urgent wire transfer.
The uncomfortable truth is that most deepfake attacks succeed because a real person makes a judgment call under pressure, and gets it wrong. Technology and process set the conditions; your people are the final control.
The gap no policy fills on its own
Deepfake fraud is designed to exploit trust, urgency, and authority simultaneously. Staff who have never encountered a synthetic voice or manipulated video in a training context are far more likely to comply when they encounter one under pressure in a real scenario.
Awareness changes the default response
When a finance team member has seen a convincing deepfake demonstrated, their default response to an unusual request changes. Instead of asking "is this real?", they start asking "how would I verify this regardless?" That shift, from trust-then-verify to verify-then-act, is what training produces. It cannot be mandated into existence by a policy.
The same principle applies to executive assistants, procurement teams, payroll staff, and anyone with access to payment systems or sensitive data. The attack surface is not limited to your finance team.
Technical controls have a ceiling
Multi-factor authentication and payment approval thresholds are genuinely useful, but they have a ceiling. A well-constructed deepfake attack often works precisely because it bypasses technical controls entirely. The fraudster is not breaking into your system. They are convincing your staff to use the system correctly, on their behalf.
That is why the organisations most exposed are those that have invested heavily in cybersecurity infrastructure but have not extended that same investment to human-layer awareness. The controls are asymmetric.
What good training actually covers
Effective AI scam awareness training for finance teams goes beyond a slideshow of famous fraud cases. It should include:
Live demonstrations of synthetic voice and video so staff understand what "good enough" actually looks and sounds like today
Scenario-based exercises that rehearse the specific pressure patterns deepfake fraudsters use (urgency, authority, secrecy)
Clear decision trees for high-stakes payment requests, embedded into the team's actual workflow rather than a separate document
Practical verification scripts so staff feel confident pushing back on a request that appears to come from a senior leader
This is not generic security awareness training. The threat is specific enough that the training should be too.
Better People's AI Scam and Deepfake Awareness workshop is built for exactly this context. It is designed for finance, operations, and executive support teams, and it covers the current state of deepfake technology, the social engineering patterns that accompany it, and the verification habits that interrupt attacks before they succeed.
Want your finance team to recognise and stop deepfake fraud?
The session covers live deepfake demonstrations, scenario-based exercises, and practical verification protocols your team can use from the day after training. We can deliver it onsite or online, and we tailor it to your organisation's payment workflows and risk profile.
See the AI Scam Awareness workshop →
Frequently asked questions
What is deepfake fraud, and how is it different from ordinary business email compromise?
Deepfake fraud uses AI-generated audio or video to impersonate a real person, typically a senior executive, in a way that feels live and credible. Ordinary business email compromise (BEC) relies on a forged or compromised email address. A deepfake attack raises the stakes considerably: a finance officer who would hesitate over an unusual email may act immediately when they hear what sounds like the CFO's voice on a call. The two threats increasingly overlap, with attackers combining spoofed emails and cloned voice calls in the same campaign.
How much money do Australian organisations typically lose to these attacks?
Australian organisations have reported individual losses ranging from tens of thousands to several million dollars in a single incident, though the full picture is difficult to establish because many incidents go unreported. The Australian Cyber Security Centre (ACSC) has consistently named business email compromise and payment redirection fraud among the highest-cost cyber threats to Australian businesses in recent annual threat reports. Deepfake audio and video are accelerating those losses by making social engineering attacks more convincing. Any organisation moving payments above five figures should treat this as a live exposure, not a future one.
Can multi-factor authentication or technical controls stop a deepfake attack?
Technical controls reduce the attack surface but do not eliminate the risk. Multi-factor authentication protects account access, not the human judgement that happens outside the system. A deepfake attack typically bypasses your IT environment entirely: it targets a person, not a password. The most effective defence pairs technical controls with a clear, practised process for verifying high-value requests through a separate, pre-registered channel, and with staff who know when and how to use it.
Who inside a finance team is most likely to be targeted?
Attackers generally target the person with payment authority who is one step below the executive being impersonated. In practice, that is often an accounts payable manager, a treasury officer, or a financial controller. They receive a call or message purportedly from the CFO or CEO and are asked to process a payment or change bank account details urgently. The combination of seniority pressure and time pressure is deliberate. Training and verification protocols need to reach these operational roles, not just the leadership team.
How do I know whether my team would recognise a deepfake attempt?
The honest answer is that without testing, you do not. Voice cloning and video synthesis tools have improved to the point where even technically aware people struggle to detect them under time pressure. The practical test is to run a simulated scenario with your finance team and observe whether they follow the verification protocol or whether social pressure overrides it. Most teams, before any training, default to compliance rather than caution when the request appears to come from a senior leader.
What to do next
Deepfake fraud is not a distant risk. The tools that produced the attacks making headlines in the United States and United Kingdom are available to anyone willing to spend a few hundred dollars, and Australian organisations are already being targeted.
Controls like out-of-band verification and payment policy reform matter. But controls only work when the people who handle money and authorise transfers understand why they exist and what an attack actually feels like under pressure.
If you are not sure whether your finance team would recognise a well-constructed deepfake attempt, that is the right question to start with.
Is your finance team ready to spot a deepfake request?
Better People's AI Scam and Deepfake Awareness workshop is built specifically for finance, operations, and executive teams. You will walk away with a clear picture of the current threat landscape and a set of practical controls your team can use immediately.
