Artificial intelligence

ARTIFICIAL INTELLIGENCE (AI) has advanced significantly in recent years, jeopardizing the security of some traditional authentication methods, such as CAPTCHAs and BIOMETRIC SYSTEMS.

CAPTCHAs, designed to distinguish between humans and bots, have been surpassed by advanced AI that can solve these challenges with greater than human accuracy. Similarly, the cloning of fingerprints, faces, and voices using AI and various manipulation technologies has created vulnerabilities in biometric-based systems, compromising the authenticity of credentials.

In the face of these threats, multi-factor authentication (MFA) systems have become a more effective barrier to protecting sensitive data. MFA combines several verification methods, such as passwords, IP or device validation, and the sending of temporary codes.

By requiring multiple layers of authentication, it becomes difficult for a single attack vector to be sufficient to breach platform security. With only one point of failure exploited, attackers must compromise other factors simultaneously to access an account.

The use of tokens, especially those sent via email, SMS, WhatsApp, or specific apps, has proven to be a reliable additional measure for strengthening security when accessing data or applications. These tokens are temporary or single-use, adding a layer of real-time protection, limiting attack opportunities and preventing unauthorized access from lasting for a long time.

At Fersys , we continually update the security mechanisms of our platforms to anticipate future threats. All of our solutions are developed with the ability to access via MFA login to secure our clients' operations and protect their sensitive data.