Remember when Photoshop was the gold standard for faking images? That era feels almost quaint now. Deepfake technology has pushed the boundaries far beyond simple image manipulation—today, AI can generate hyper-realistic videos, audio clips, and even entire personas. The scary part? It’s only getting better.

What Are Deepfakes? 

Deepfakes use deep learning models—particularly Generative Adversarial Networks (GANs)—to manipulate or synthesize media. Essentially, one AI model (the generator) creates an altered version of a video or audio file, while another AI model (the discriminator) tries to detect if it's fake. The generator keeps improving until it can fool the detector, making each iteration more convincing.

The earliest deepfakes were rough, glitchy, and easy to spot. But advancements in machine learning, improved computational power, and publicly available AI models have made these fakes disturbingly realistic. Now, with just a few minutes of sample footage and free tools, anyone can create deepfake videos that are nearly indistinguishable from reality. (Read more about how fake identites are made using online tools here) 

The Rise of Deepfake Scams (Thanks a lot AI) 

Deepfake scams used to be a high-tech crime requiring extensive expertise. Not anymore. Open-source AI platforms and commercial deepfake tools have made it effortless to generate convincing forgeries. Here are just a few ways criminals are exploiting this tech:

• Deepfake Scams: Cybercriminals have started using deepfake videos and audio to impersonate CEOs, tricking employees into wiring millions of dollars to fraudulent accounts.
• Political Manipulation: Fake speeches and fabricated videos of world leaders are influencing public opinion. With elections looming in various parts of the world, deepfake-fueled disinformation is a ticking time bomb.
• Blackmail & Extortion: Scammers are creating deepfake pornography, using stolen social media images, and then blackmailing individuals—especially celebrities and public figures.

Deepfake Examples That Are Honestly Terrifying

1. Political Deepfake examples: AI is Meddling with Democracy

AI-driven misinformation is now a real threat to political stability. Consider these examples:

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1. Donald Trump & RSS Conspiracy Video

A deepfake video falsely claiming that former U.S. President Donald Trump exposed an RSS-backed ethnic conflict in Arunachal Pradesh went viral on Facebook.

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2. J Jayalaithaa, ex-Indian politician titan 

In February 2024, the official account of the regional All India Dravida Munnetra Kazhagam party posted an AI-generated audio clip of J Jayalalithaa, a deceased political figure, delivering an impassioned speech targeting young party members on a mainstream platform. 

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3. Amit Shah, Indian home minister 

Another viral deepfake video falsely depicting BJP leader Amit Shah, the Minister of Home Affairs, announcing the curtailment of reservation rights for scheduled castes, tribes, and communities led to the Mumbai police registering a case against a social media account affiliated with the Maharashtra State Youth Congress.

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4.  Suharto, Late Indonesian president 

NPR reported that deepfakes were being deployed to sway voters ahead of critical elections. One striking example was an AI-generated video featuring the late Indonesian President Suharto.

In the clip, the deepfake Suharto declares, "I am Suharto, the second president of Indonesia," before endorsing Golkar party candidates, claiming they would "continue my dream of Indonesia's progress." AI-generated political speeches, memes, and manipulated audio clips like this have flooded social media, raising concerns about election integrity.

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2. Celebrity Deepfake Nightmares

Imagine waking up to find a video of yourself saying things you never said—or worse, appearing in explicit content you never filmed. Celebrities are among the biggest targets:

• Scarlett Johansson: Victim of deepfake pornography, which she has openly condemned.
• Rashmika Mandanna & Alia Bhatt: Both have had their faces manipulated onto explicit videos, sparking outrage and concern over digital identity theft.
• Phei Yong: In a widely circulated deepfake scam, the face of Malaysian influencer Phei Yong was used in a fraudulent video to promote an investment scheme. The AI-generated video made it appear as if he was endorsing a fake financial product, tricking unsuspecting followers into transferring money. 

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3. Deepfake Scams for Advertising

Deepfakes of Singapore Prime Minister Lawrence Wong have been circulating online, falsely portraying him as endorsing cryptocurrency investments, money-making schemes, and permanent residency application services. These manipulated videos exploit his public image to lend credibility to fraudulent businesses, deceiving unsuspecting individuals into making financial commitments.

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Brands and celebrities alike are being dragged into deepfake-driven scams, like: 

• Elon Musk Crypto Scams: Fake AI-generated Musk videos promoting fraudulent investment schemes have scammed thousands.
• Lululemon & Nora Fatehi Scam: A deepfake video featuring Bollywood star Nora Fatehi was used to falsely endorse Lululemon’s products.
• Taylor Swift for Le Creuset: A deepfake of Taylor Swift was used to push cookware products. 

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Deepfake Phishing & Blackmail examples

Fraudsters are exploiting deepfake technology for social engineering attacks, tricking individuals into revealing sensitive information. 

• Deepfake Phishing Calls: AI-generated voices of real people are being used to scam victims over phone calls.
• Fake Emergency Scenarios: Scammers use stolen photos to create fake hostage situations or emergency requests for money.
• Blackmail with AI-Porn: Fraudsters are generating deepfake pornography of ordinary people using social media images, then demanding ransoms or “sextortion”. 

Can You Spot a Deepfake?

Deepfake detection is getting harder, but here are some signs to watch for:

• Unnatural Eye Movements: Many deepfakes struggle to mimic natural blinking patterns.
• Mouth and Lip Sync Issues: Speech and lip movements may not align perfectly.
• Blurry or Flickering Details: Watch for inconsistencies in hair, ears, or shadows.
• Unrealistic Skin Texture: AI often struggles with skin imperfections and natural lighting.
• Strange Background Artifacts: If the background looks distorted, it’s worth a closer look.

Why Institutions Need to Fight Back with AI-Powered Face Intelligence

The deepfake threat isn’t just about celebrities and politicians—it’s coming for businesses, banks, and anyone with a digital identity. Institutions need robust protection during onboarding and authentication to avoid fraud, misinformation, and financial loss.

Bureau’s Face Intelligence can:

• Detect deepfake videos, digital injections, and tampered images.
• Ensure identity verification is secure and fraud-proof.
• Help businesses safeguard customers from synthetic identity fraud.

With AI-generated deception on the rise, organizations can’t afford to take chances. Protect your institution and your customers, before the next deepfake crisis lands on your doorstep.

Want a demo? Schedule a call with us.

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