Digital security strategies are making progress towards the Continuous Adaptive Trust (CAT) model, which represents a significant evolution from the Zero Trust perspective. This transformation enshrines the shift to a continuous assessment and management of the risks associated with each access and each transaction that takes place on a platform, moving from simple perimeter control (authentication) to continuous assessment (Zero Trust).
There are various scenarios in which user authentication and vulnerabilities associated with practices such as weak and reused passwords pose challenges to the protection of digital identity. The implementation of CAT reinforces these solutions by adding a layer of security to the users’ identity, in order to spot possible indicators of fraud or possible indicators of identity faking.
Proactive security: CAT model use scenarios
The CAT model strongly emphasises the fact that the security risks associated with conventional passwords are addressed by the adoption of more advanced authentication methods, such as the passwordless Passkeys method or Reusable Digital Identities, as well as the relevance of the FIDO Alliance and the enhancement of multi-factor authentication (MFA) through the continuous assessment of identity usage. Yet, for all its advantages, there are limitations associated with universal rollout.
Against the background of this model of digital security, the Zero Trust identity paradigm is presented as an alternative, replacing implicit trust with continuous assessment.
These unauthorised transactions are also familiar in the banking sector, to which both the Payment Services Directive PSD2 and the introduction of strong customer authentication (SCA) represent key responses.
The integration of artificial intelligence (AI) and machine learning (ML) technologies in customer identity and access management systems (Identity Fabric) is offered as a possible means to assess biometric risks and behaviours. In addition, the potential adoption of verifiable credential-based digital identities, such as the OpenID protocol, is being explored to strengthen resistance to identity theft, especially in digital wallets.
CAT and Facephi
The fundamental thesis is that, in addition to implementing phishing-resistant authentication measures to protect perimeter access to a platform, such as Passkeys or Reusable Digital Identities, CAT also involves continuously assessing contextual information (events) in such a way that possible indicators of fraud or identity faking can be identified at an early stage. In this spirit, CAT is an implementation of active and flexible security policies, providing the platform with a certain degree of resilience that is adaptive to different risk situations.
At Facephi we are specialists in digital identity verification solutions for users, focusing on creating secure, accessible, and fraud-free digital processes. We are committed to innovation, and we integrate artificial intelligence, machine learning and blockchain technologies into our solutions.
Contact us and our expert advisors will guide you through the process, making sure that we offer you the optimal solution tailored to your technology needs. We are dedicated to customising your project and shaping it to meet your particular requirements and objectives.
