Deepfakes and AI-Generated Content: The New Reputational Risk for Brands and Executives

It's nine o'clock on an ordinary Monday morning. An employee in the finance department gets an urgent video call: on the other end, the face and voice of the company's CEO ask them to authorize an out-of-cycle wire transfer before the end of the day, "for a confidential acquisition matter that can't wait for a meeting." The face moves, gestures, even hesitates for a split second mid-sentence, just like any real person under pressure would. It isn't the CEO. It's a generative AI model trained on a few minutes of public video (a conference talk, a webinar, an interview on a corporate channel) that can now clone their likeness and voice with a fidelity that was science fiction barely three years ago.

This article isn't about fake text reviews, a problem we've already covered in depth in our article on how generative AI has supercharged the deception economy in online reviews. Here we're talking about a different risk and, in most scenarios, a more serious one: impersonation through synthetic video, audio or images (what we know as deepfakes) that literally lend the face, voice or mannerisms of a brand or an executive to a message that was never said. A fake review deceives with words; a deepfake deceives the senses, and that difference changes everything in terms of impact, speed of spread and emotional damage.

1. A different kind of risk: when AI stops writing and starts acting

For years, the reputational risk tied to generative artificial intelligence has been discussed almost exclusively in terms of text: mass fake reviews, automated comments, op-eds churned out on an assembly line. It's a real and growing problem, but it shares a fundamental limitation: text gets read and interpreted, and the human brain applies an almost automatic filter of skepticism to an anonymous sentence on a review site.

A deepfake removes that filter. When we see a familiar face move, speak and react naturally, or when we hear a voice we recognize by its tone, rhythm and verbal tics, the brain processes that information through a different pathway than text: the pathway of perceptual trust, the same one we use to recognize a family member over the phone or a coworker across a room. Fooling that pathway has far deeper consequences than fooling our capacity for critical reading.

This guide focuses precisely on that different pathway: how the risk plays out in practice, how to detect it in time, what protocol to follow when fake content is already circulating, and how to build preventive defenses before the first incident happens.

2. The three categories of deepfake that threaten brands and executives

Not all deepfakes pursue the same goal or call for the same response. Before designing any protocol, it's worth clearly distinguishing between the three scenarios that, in our experience advising companies, account for the vast majority of real-world cases.

2.1. A fake video of a CEO or spokesperson announcing something they never said

This is the most visible scenario and the one that most often makes it into the news. A video, usually distributed first on social media, shows a company's top executive announcing a plant closure, an internal scandal, a dramatic drop in earnings or a politically inflammatory statement. The goal may be to manipulate the stock price, sabotage a corporate transaction in progress, undermine a labor negotiation or simply sow chaos so the video's creator can gain notoriety.

2.2. Cloned audio used in vishing scams targeting suppliers or employees

Less viral, but potentially more costly in direct financial terms. Here the deepfake isn't looking for a public audience: it's looking to deceive one specific person, usually in finance or administration, into authorizing a payment, sharing credentials or changing a supplier's bank details. The cloned voice of the CEO or CFO calls (or leaves a voicemail) with urgent, confidential instructions that bypass the usual approval channels by appealing precisely to that urgency and confidentiality.

2.3. Product testimonials and endorsements that were never recorded

The third category hits the business more than the individual: videos showing a satisfied customer, a celebrity or a recognized expert recommending a product or service they've never tried, usually tied to sales scams, fraudulent cryptocurrencies or health products with no real backing. The legitimate brand whose name or corporate image is used as bait suffers reputational damage even though it had no part in the scam.

Category	Attacker's typical goal	Main impact
Fake CEO/spokesperson video	Manipulate the stock price, sabotage a deal, create chaos or notoriety	Reputational and potentially market-moving, highly viral
Cloned audio (vishing)	Direct financial fraud, credential theft	Immediate financial loss, low public virality
Fake testimonial/endorsement	Sales scam piggybacking on someone else's trusted image	Brand damage by association, legal risk for deceived third parties

3. Why a fake video or audio clip hits harder than a fake review

When a company faces a deepfake for the first time, the communications team's first instinct is often to treat it as "just another fake review," applying the same reputational crisis management playbook they'd use for any other online incident. It's a miscalculation that can cost critical hours.

This isn't an academic debate about technical nuances between two types of AI-generated fraudulent content. It's the reason the protocol we lay out in section 6 can't simply be an adaptation of the one we'd use against a fake review campaign: it needs to compress into hours decisions that in other scenarios are made over days, and it needs to rest on technical evidence (forensic, not just argumentative) from the very first minute.

4. Red flags: how to spot a deepfake with the naked eye

Deepfake quality has improved dramatically, but the vast majority of those circulating today (including those used in real fraud against companies) still show imperfections that a trained eye can detect, especially if you watch the content at reduced speed or frame by frame.

• Blinking that's absent, too frequent or follows an unnatural rhythm throughout the video
• Blurry or "jittery" edges around the face, especially when the person turns their head or moves quickly
• Lip-sync that's slightly out of step with the audio, particularly on closed consonants (p, b, m)
• Lighting or shadows on the face that don't match the lighting in the rest of the scene or background
• Skin texture that's too uniform, lacking the micro-details and natural imperfections of original footage
• Audio with a slightly robotic intonation, oddly placed pauses or none of the breathing and verbal tics typical of the real person
• A strange context: the message first appears on an unknown or newly created account, not on the person's or company's official channels
• A complete absence of source metadata, or metadata that doesn't match the device or date the video claims to show

4.1. Red flags specific to cloned-voice vishing

5. Forensic detection tools and techniques

When suspicious content reaches the communications or security team, the goal is no longer to "have a hunch": it's to produce defensible technical evidence, both to justify the decision to act internally and to support a takedown request to the platforms or, if appropriate, legal proceedings.

1. Immediately preserve the original content
   Before doing anything else, download and archive the original file (not a screenshot or a recompressed forward) along with the URL, date, time and source account. Repeated compression from forwarding destroys artifacts that are key to forensic analysis.
2. Analyze it with synthetic content detection tools
   There are specialized solutions, both commercial and from academic research, that analyze compression patterns, pixel consistency between frames and the telltale fingerprints of the major generative models.
3. Run a separate audio forensic analysis
   Audio and video can be generated with different models and then synced; a separate audio forensic analysis (spectrogram, formant analysis, background noise consistency) adds a second layer of evidence.
4. Verify the source and distribution chain
   Trace where the content first appeared, which accounts amplified it and whether there's a pattern of bots or coordinated accounts behind the initial spread, an additional sign of deliberate manipulation.
5. Cross-check against the executive's actual calendar
   Verify, simply but rigorously, whether the person could physically have been where the video places them, or whether the statement attributed to them contradicts verifiable internal communications from those same dates.
6. Commission an expert report when the case warrants it
   For cases with significant financial, market or legal impact, commission a formal forensic expert report that can stand up before a platform, a regulator or a court.

The goal of this phase isn't to delay the response (we'll come back to this in the section on speed) but to compress as much as possible the time needed to go from "suspicion" to "documented certainty," which is the essential prerequisite before issuing any official statement debunking the content.

6. Response protocol for a deepfake that is already circulating

Once fake content is in circulation, every hour counts in a way rarely seen in other types of reputational crisis. The protocol we share with our clients rests on the same general principles we develop in our guide to crisis communication protocols, adapted to the specific nature of deepfakes: visual, emotional and fast-spreading.

1. Lightning-fast internal verification (first hour)
   Confirm with the person supposedly involved, with their calendar and with the security team whether or not the content is authentic. This verification must be completed in minutes, not hours: it's the step that unlocks everything else.
2. Activate the crisis committee
   Immediately convene communications, legal, information security and, if the impact is financial or market-related, investor relations. From this moment on, a single authorized spokesperson must centralize all messaging.
3. Run preservation and forensic analysis in parallel
   While the committee is being activated, a technical team (internal or external) immediately starts the process described in section 5 to produce documented evidence of the manipulation.
4. Issue an official denial backed by evidence
   Publish a short, clear statement free of unnecessary jargon on the official channels of the company and the affected executive, explicitly stating that the content is synthetic and providing, whenever possible, a verifiable element (for example, the person's actual schedule at that time).
5. Proactively notify key audiences
   Reach out directly (don't wait for them to find out on social media) to investors, critical suppliers, media outlets that regularly cover the company and employees, especially if the deepfake could also be used in a parallel vishing attempt.
6. Submit takedown requests to all relevant platforms at the same time
   Alongside the statement, file a formal takedown request on every platform where the content is circulating, following the specific process we outline in the next section.
7. Monitor the spread intensively
   Track in real time any new appearances of the content, its cropped or re-edited variants, and related conversations on social media and digital media over the following days.
8. Assess legal options
   In parallel (never as a substitute for public communication), evaluate with the legal team whether civil or criminal action is warranted, as we discuss in section 8.

7. How to request takedowns from Meta, YouTube, TikTok and X

In recent years, the major platforms have developed specific policies for synthetic and manipulated content, usually under labels such as "manipulated media," "undisclosed synthetic content" or "impersonation." Knowing the right channel on each one dramatically speeds up the process.

Platform	Recommended reporting channel	Key element to provide
Meta (Facebook/Instagram)	Content report form + verified brand channel / legal representative	Proof of identity of the affected person and technical evidence of manipulation
YouTube	Report under the "misleading content or impersonation" policy and privacy complaint form for likeness/voice	Exact URL, timestamp of the clip and justification of the impersonation
TikTok	In-app report for "synthetic or manipulated media" and channel for verified accounts	Screenshots of the content, source account and context of the spread
X (Twitter)	Synthetic and manipulated media policy via the Help Center	Side-by-side comparison with verifiable authentic content and forensic evidence

It's important to keep expectations realistic: even with a well-documented case, removal is rarely instantaneous. That's why the official statement from the previous section can't wait for the platform to resolve the report: your own communication and the takedown request must move forward in parallel, never one after the other.

8. The legal angle: likeness, voice and when legal action makes sense

Beyond the communications response, a deepfake that impersonates an identifiable person opens up its own legal territory: the right to one's own image and, increasingly recognized across jurisdictions, an equivalent right over one's own voice as an identifying trait of the person. Depending on the case, this may be compounded by unfair competition, defamation or fraud when the content is used for financial gain.

8.1. When the communications response isn't enough and it's time to escalate to legal

• When the content has caused or may cause quantifiable financial harm (lost business, stock market impact, completed fraud)
• When the platform fails to remove the content within a reasonable timeframe despite a well-documented request
• When the author or someone who distributed it with demonstrable malicious intent is identified
• When the content keeps resurfacing despite the official denial, suggesting an organized campaign
• When there's a component of completed financial fraud, which also requires notifying the relevant authorities

9. Proactive prevention: internal protocols and content verification

No detection or response system, however fast, can replace good prevention. Most of the cloned-voice vishing incidents we've seen our clients handle weren't stopped by technology, but by a simple internal protocol that someone decided not to skip despite the pressure of the moment.

9.1. Internal protocols against CEO fraud using cloned voice or video

9.2. Verifying and protecting official brand content

• Centralize and clearly label the verified official channels of the company and its main spokespeople, so that any content outside those channels immediately looks suspicious
• Consider using digital watermarks or cryptographic authenticity signatures on especially sensitive video communications (financial results, major corporate announcements)
• Where reasonable, reduce the amount of high-quality, long-form video of executives available without controls on public channels, without giving up the necessary public presence
• Establish a rapid verification protocol (who to call, what to check) so any employee knows exactly what to do in the first few hours if they spot suspicious content
• Proactively register the names and likenesses of key executives with the identity verification tools some platforms offer for public figures
• Include deepfake management as a specific scenario within the company's overall reputational crisis management playbook, with roles and contacts assigned in advance

10. Why response speed is everything in this kind of crisis

In almost any other type of reputational crisis there's a margin (narrow, but real) to take a few extra hours and craft a more polished response. In a deepfake crisis, that margin shrinks drastically, and there are structural reasons, not just perception-related ones, that explain why.

The underlying phenomenon is what we call "first-version anchoring" in crisis communication: the first narrative a person receives about an event tends to become the reference version in their memory, even when they later receive a reliable correction. The longer the fake content circulates unchallenged, the larger the share of the audience that stays anchored to that first version, never seeing the later denial.

This, ultimately, is the fundamental difference from managing an online reputation damaged by text reviews or negative comments: there, time is measured in days without the damage spiking exponentially; here, it's measured in hours, and every hour of indecision carries a compound cost that can't be recovered later, even with the best reputation rebuilding strategy. This same principle of immediate reaction is central to our dedicated guide on protecting the reputation of CEOs and executives, a profile that concentrates much of the risk we've described in this article.

11. Frequently asked questions

12. Conclusions and action plan

Deepfakes are no longer a technological curiosity or a theoretical risk reserved for large corporations or political figures. Any company with a visible executive, corporate audiovisual content or suppliers that handle payments is now a potential target for impersonation through synthetic video, audio or images, and the cost of being unprepared is measured both in reputation and, in the worst case, in cold, hard cash.

The key takeaways from this guide are:

• The risk has three distinct faces (fake CEO videos, cloned voices in vishing and product testimonials that were never recorded) and each one calls for a different emphasis in the response.
• A deepfake hits harder than a fake review because it deceives through the emotional and perceptual pathway, not the rational one, and it spreads with far less friction.
• Reliable detection combines a trained eye with forensic tools: no single visual sign is conclusive proof on its own.
• The response protocol must be compressed into hours, not days, with lightning-fast internal verification, an evidence-backed statement and takedown requests all moving forward in parallel.
• The legal track (likeness, voice, fraud, unfair competition) is activated alongside communications, never as a substitute or as a prior step that delays the public response.
• The most cost-effective prevention is an internal dual-verification protocol for any unusual financial request, no matter how convincing the voice or video may be.
• Response speed is, in this kind of crisis more than almost any other, the factor that determines the final outcome.

If your company has executives with significant public exposure, makes recurring payments to suppliers or simply wants to be prepared before the first incident happens, the time to design the protocol is before you need it, not in the middle of the crisis.