Deepfake is a new weapon in the hands of cybercriminals

How AI breaks trust, business and politics

Artificial intelligence is no longer just a tool — it has become a theater of information warfare. Among all its creations, the most poisonous, flexible and dangerous form has turned out to be deepfakes — digital forgeries that destroy the basic institutions of trust in society.

Five years ago, deepfakes were more of an interesting experiment for enthusiasts or a circus trick on YouTube. But today they are already a weapon of mass deception: from fake statements by politicians to attacks on corporate payment chains, from fake video appeals on social networks to simulated negotiations with the “voice of the director”.

The invisible, synthetic, technically sophisticated threat is gaining speed, and there are no brakes.

How the illusion works

At the heart of deepfake technology are generative adversarial networks (GANs), two artificial neural networks that are constantly fighting each other: one creates a fake, the other tries to expose it. It’s like a criminal and an investigator locked in an endless competition. And with each round, the criminal gets more cunning.

The result is content — video, voice, even facial expressions — that looks and sounds like the real thing. Technologies that were once the exclusive prerogative of intelligence agencies are now available on your smartphone.

From entertainment to weapons

Celebrities have been the first “victims” of this digital magic. Famous cases, such as the “Barack Obama” video created by Jordan Peele or the fake “Tom Cruise” videos on TikTok — were more like technological demonstrations. But they opened doors.

The real pressure began when deepfakes became a tool for social engineering. Instead of hacking servers, attackers started hacking people. You don’t have to prove anything by force — you just have to persuade a person by showing them what they want or are afraid to see.

In business, this manifests itself in the form of a phone call with the voice of the CEO asking to make a payment, or a visual “Zoom meeting” where the manager gives the command to change the recipient’s account. You see his face, you hear a familiar voice. It looks natural. But it’s not him.

No longer a hypothesis

A well-known case from the UK: the CEO of a company received a call from the “head of the parent company”, whose voice sounded 100% believable. After a request to urgently transfer funds to a new account, he transferred more than 200,000 euros. Only later did it turn out that the conversation… did not take place.

And this is just one of dozens of documented cases. In the political sphere, deepfakes are used for destabilization, in the media for discrediting, and in cybercrime for a new level of phishing.

Why it’s dangerous right now

The unique threat of deepfakes lies not only in their plausibility, but also in the context in which they appear. The world is already saturated with distrust, conspiracies, and information noise. And now someone throws a video into this fog that is “impossible not to believe.” The human psyche does not have time to adapt to the fact that what is seen is not always true.

For business, this is a disaster, because communication channels are no longer trusted by default. Email, video communication, internal messengers – all of this can now be attacked not only as an environment, but as a point of influence on human trust.

What businesses should do in the era of deception

For organizations of the new reality, deepfakes are no longer a technological abstraction, but a direct attack on critical processes, where the weakest link is not a password, not encryption, but a person who sees and hears.

Previously, cybersecurity systems focused on access control, infrastructure protection, and intrusion prevention. But now the breaking point is a video of a “manager” asking to confirm a transaction. It’s an audio message from a top manager’s voice ordering a change in payment route. It’s an imitation of a Zoom partner approving access to an internal system. And as long as a person sees or hears something familiar, they don’t doubt it.

The Trust Paradox

The security systems we have built over the past decades are based on a trust model: if a channel is authentic, it is not questioned. But with deepfakes, authenticity is no longer a guarantee. Previously, suspicion was aroused by unfamiliar sources. Now the greatest danger is posed by what seems… familiar.

How exactly do businesses attack

Attackers do not break systems — they imitate internal processes. To do this, they use real AI tools, often available on open platforms. Technologies that today help in training, HR, marketing — the same ones become the basis of the attack.

They only need a few public videos of the manager’s speeches, recordings of presentations or interviews to simulate his behavior. A synthesized voice is added — and there is already a holistic visual-voice imitation. Such an “avatar” can be integrated into Zoom, Teams or create a recorded appeal that will look like an urgent message for the CFO or IT department.

This is not a theory — it is a practice that is already working in the fields.

The difficulty in countering

The fight against deepfakes is a technology race: each new generation of detection tools only temporarily outpaces new generation methods. This is a digital evolution where forgery develops faster than detection.

It is especially difficult to diagnose fakes in videos with low resolution, poor lighting or unstable data transmission — which is often the case with urgent video connections. Even an experienced IT specialist is not always able to immediately recognize manipulation if its target is not the viewer, but a specific person who was shown exactly what he expected to see.

What a company can do

The first step is to force yourself to doubt yourself. Rethink the very paradigm of trust: now not everything that looks “usual” is safe. This means not rejecting technology, but building a multi-layered defense where no signal is automatically considered true.

Organizations need a new information security culture that is not just about technology, but about behavioral analytics and human criticality. This means creating procedures where decisions, especially critical ones — financial, legal, accessible — should be confirmed through alternative channels or two-factor reality: line verification, personal confirmation, “analog duplication” of processes.

In addition, it is worth introducing regular testing of personnel not only for phishing, but also for deepfake attacks — training, simulations, psychological perception tests. An employee should be able to say: “stop, this is too good to be true.”

There are also technological solutions

Protection should also include technical components:

• tools for detecting video/audio manipulation;

• analyzing communication anomalies;

• tracking digital copies of management in open and closed networks;

• marking content with digital watermarks that will help track its legitimacy.

Also effective is monitoring the brand’s digital presence: detecting fake accounts, clone domains, unexpected use of logos. Often, a deepfake attack begins not with a fake video, but with a fake environment of trust.

Conclusion

The main battlefield in this war is not the server or the code, but human trust. Deepfakes undermine the very thing that makes a system functional: the ability to act on the signal “it’s familiar, therefore safe.”

Victory can only be achieved when the system learns not to blindly trust even the most realistic signal, but to demand confirmation not because it suspects, but because it knows: now even what seems real can be fake. This is not paranoia — this is the new standard of digital survival.