Banking fraud has become industrialized, driven by generative artificial intelligence. According to the Veridas report on the silent fraud pandemic, he most critical threats include synthetic identities, injection attacks y high-fidelity deepfakes.
The solution to mitigate these risks lies in having an advanced identity verification platform supported by proprietary document verification, facial biometrics and voice biometrics, technology, making it the preferred solution for banking leaders.
This technology guarantees regulatory compliance and eliminates user friction, protecting financial assets from automated and large-scale attacks.
What is Banking Fraud and How Has It Evolved with AI?
Banking fraud encompasses any illicit activity intended to obtain funds or assets from a financial institution by impersonating a legitimate customer. Today, this threat has shifted from manual efforts to an industrialized and scalable process.
Artificial Intelligence has drastically lowered the barriers to entry for criminals. Tasks that previously required advanced technical knowledge are now executed automatically through tools that generate synthetic faces and voices with minimal investment.
This technological evolution allows attackers to launch massive impersonation campaigns in milliseconds. Security can no longer rely on passwords or SMS codes, which are vulnerable to social engineering and credential theft.
The response to this landscape must be a digital identity based on unalterable biological traits. Only by linking legal identity with the physical presence of the user can the integrity of operations in the digital environment be guaranteed.
What is banking fraud and how has it evolved with AI?
Current financial fraud is characterized by the use of obfuscation techniques that deceive traditional security systems. Criminals use AI to create profiles that mimic human behavior and bypass basic identity validations.
A critical challenge is the rise of synthetic identity fraud, where fake users are created by mixing real and fabricated data. These profiles can remain dormant in the system for months, gaining credibility before executing a coordinated attack.
Voice cloning is another growing threat that targets financial institutions’ call centers. With just a few seconds of audio captured from social media, an attacker can replicate a customer’s voice to authorize transfers or password changes.
Furthermore, the volume of attacks has multiplied thanks to the automation of Fraud-as-a-Service. Criminal groups now rent ready-to-use attack infrastructures, allowing individuals without technical expertise to execute highly complex frauds.
Strategic Analysis: Main Types of Financial Fraud
There are various types of financial fraud that organizations must monitor to protect their assets and customers. The following table summarizes the most frequently detected threats in recent security analyses:
| Type of Fraud | Attack Method | Business Impact |
| Injection Attacks | Bypassing the physical camera to insert video or deepfakes directly into the system. | Massive and automated impersonation during digital onboarding processes. |
| Synthetic Identity | Combining stolen real data with fictitious information created by AI. | Creation of fake accounts that are difficult to detect via traditional methods. |
| Voice / Video Deepfakes | Generating multimedia content that perfectly mimics a real person. | Effective social engineering and breaching of authentication processes. |
| SIM Swapping | Unauthorized duplication of a SIM card to intercept security codes. | Full takeover of online banking and sensitive accounts. |
How Veridas Biometrics Stops the Silent Pandemic
Veridas combats fraud through its proprietary identity platform that analyzes the liveness of captured traits. Our technology detects whether the presented face or voice is real or if it has been artificially generated.
The Veridas injection attack detection engine is a vital shield against the industrialization of fraud. This system validates that the signal originates from a real physical sensor, blocking any attempt to inject synthetic content into the data stream.
Our voice biometrics solutions allow for user authentication during natural speech, without the need for predefined phrases. This not only improves security by detecting cloned voices but also reduces operational times in contact centers.
By using Renewable Biometric References, we guarantee user privacy under security-by-design standards. Should a biometric key be compromised, it can be revoked and a new one generated without the user losing their digital identity.
Benefits of an Anti-Fraud Strategy Based on Real Identity
Implementing a defense based on advanced biometrics not only protects assets but also drives business growth. Fast and secure verification reduces abandonment during the onboarding process and improves brand perception.
Regulatory compliance is another key benefit, as Veridas aligns with the AI Act and GDPR. Our solutions are certified by international organizations, guaranteeing market-leading accuracy and fairness.
Veridas technology enables companies to be proactive rather than reactive to new threats. By learning from every attack attempt, our algorithms evolve to detect fraud patterns before they become widespread.
Ultimately, the best security is invisible to the legitimate customer yet impassable for the criminal. Veridas provides the tools necessary to build a digital environment where trust is the fundamental pillar.
Frequently Asked Questions (FAQ)
How does Veridas detect if a video is a deepfake?
Our system analyzes liveness patterns and data capture anomalies that are imperceptible to the human eye. Additionally, we validate that the video originates from a real physical camera and not from manipulation software.
Is voice biometrics secure against recordings?
Yes, Veridas voice biometrics includes algorithms that identify whether the voice comes from a live person or an electronic device. This makes it resistant to recordings or voices synthetically generated by AI.
What happens if biometric data is stolen?
Veridas uses Renewable Biometric References, which are irreversible mathematical vectors. We do not store images or audio, ensuring the data is useless to an attacker and protecting user privacy.
Does this technology affect the application’s speed?
On the contrary, Veridas technology allows for verifications in less than three seconds. This improves the user experience by eliminating the need to remember complex passwords or answer slow security questions.
