Simple guide to understanding deepfakes and deepfake protection Written on

TL;DR:
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AI-powered deepfakes are easily created and used for large-scale financial and identity fraud, costing the global economy trillions.
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Traditional liveness detection tools are easily tricked by high-resolution deepfakes, leaving businesses vulnerable.
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Our ISO-certified, developer-first Liveness Detection API provides superior, passive deepfake protection.
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YouLive offers sub-second performance, simple 3-line integration, is private by design (no PII storage), and ensures fair verification across all demographics.
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You can test our fraud defense solution by starting a free micro-pilot.
Deepfakes are not new. Since this AI-powered technology appeared, we at Youverse have seen it as a major threat, spreading false information and boosting identity fraud. Keep reading to learn more about this issue and how deepfakes could affect your business.
A Rapidly growing technology
Deepfake technology uses deep learning (a sophisticated type of Artificial Intelligence (AI)) to create fake images, videos, or audio. This allows criminals to digitally alter a video of a person to "make" them say or do things they never did. Crucially, this is now being used for large-scale financial fraud.
Historically, deepfake content was created using two competing algorithms: a generator and a discriminator. The generator creates the fake content, and the discriminator tries to spot if it's real or artificial. This technology has improved dramatically. Today, it is nearly impossible for a human to tell the difference between a fake face image and a real one.
The evolution of generating fake identities
The technology has advanced incredibly fast. Now, video and speech can be generated to create realistic interactions with very little original source data, using advanced techniques like face swapping and super-resolution.
The Generative AI revolution is impacting the world in both good and bad ways. The huge progress in deepfake creation tools and their wide availability online makes it easier to create high-quality fake identities. This also makes standard video verification and other Know Your Customer (KYC) steps more vulnerable.
Some simple programs can take a photo and create a video deepfake to trick less advanced liveness checks. Fraudsters can quickly and widely use synthetic and stolen identities, leading to loan fraud, money laundering, and many other types of scams.
Deepfakes cause real damage
Deepfakes can cause significant harm to organizations through financial loss, damage to reputation, and poor customer experiences.
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Financial Loss: Fraud costs the global economy trillions of dollars. Since most scams happen online, businesses must invest in proper deepfake protection to defend their customers, or the cost of being unprepared will far outweigh the investment.
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Reputation Management: Damage from deepfake-inflicted misinformation is difficult to fix and severely harms a company's reputation. Successful fraud leads to financial loss in the short term and a profound, long-term impact on the company's reputation.
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Customer Experience Impact: Traditional anti-fraud tools focused only on presentation attacks (like printed photos or masks). However, new, high-resolution deepfakes can now mimic actions, making simple 'active liveness' checks useless. Vulnerability to deepfakes can hurt customer relationships, causing confusion and eroding trust in the company.
How to achieve deepfake protection for your business and customers
The best deepfake protection starts with smart security and advanced technology.
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Educate your team and customers: Teach everyone how deepfakes work and the risks they pose. Follow good security practices and remember the basic protocol: "trust, but verify."
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Use robust biometric verification: Biometric verification is essential during customer onboarding. It ensures the person is who they claim to be.
To address the rising threat, we offer the YouLive API, a certified, developer-first solution with these key features:
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Advanced protection: YouLive is fully ISO 30107 Level 1 and 2 compliant. It provides highly accurate injection and deepfake detection (compliant with CEN/TS 18099) using passive, active, or hybrid liveness methods to suit your specific business needs.
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Developer-ready: Deploy our liveness detection in the cloud, at the edge, or on-premises in minutes. Our SDKs for Web, iOS, and Android allow integration in just 3 lines of code, and a sub-second REST API latency ensures user flows remain frictionless.
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Private by design: Customer data stays safe. YouLive uses end-to-end encrypted requests and ensures no storage of biometrics or PII. It is aligned with global regulations like GDPR, CCPA, and KYC/AML standards.
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Scalable growth: Prove your Return on Investment (ROI) early with a Micro-pilot (1,000 API calls over 10 days) and scale seamlessly from 10K to 10M+ annual calls with predictable, simple per-call billing.
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Trusted and fair: Built upon continuous ISO compliance checks and partnerships with regulators, YouLive ensures reliable verification for diverse demographics, offering equal accuracy across all skin tones, genders, and ages.
To further secure the onboarding process, YouID checks documents against over 10,000 templates and can spot any mismatched data from the visual area, MRZ, RFID chips, barcodes, and holograms. This makes the customer identity verification process seamless for both customers and the organization without compromising security.
Ready to fight fraud?
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