Identity and Access Management (IAM) tools, define and manage the access rights of internal and external entities to an organization, thereby creating a secure environment which minimizes the risk of any fraudulent transactions. These tools are enhanced with provisions of multi-tier biometric authentications solutions which include face, fingerprint, voice, iris, and/or other physiological quotient indicators. Additionally, the latest IAM tools are being further enabled with machine learning based behavioural pattern recognition capabilities, that can further mitigate risks of data breaches done by/or from authorised entities.
With the growing severity of regulations to secure sensitive and critical business data, the need for robust access control system to manage and authenticate user access has increased manifold. The advanced IAM tools with integrated biometrics, play a major role in securing an organization by providing complete visibility of the identity of users, dynamic control of their access rights, and real-time logs of any anomalous behavior of entities within the system. With the help of these tools, network professionals have detailed information of the activities associated with the digital identity of every network user. This available information can be used by log analyzer tools to derive meaningful data and visualize root cause analysis of any incident with high precision.
Importance of Biometrics in IAM:
- Unlike traditional password based single factor authentication, which can result in data breaches with stolen password, biometrics provides a digital identity to a user which makes entry more secure.
- Biometric identity provides a comprehensive platform in provisioning multi-tier access control and is the safest measure as it is difficult to fake biometrics, with fingerprint or a retina-based authentication system being unique for all individuals
Most of the organization see biometrics as more convenient and secure authentication way than traditional passwords. Recent research studies indicate that by 2020 biometrics will be used in almost all endpoint devices, specifically smartphones. Innovations in biometrics are still progressing, with fingerprint recognition being most commonly used authentication system, while other authentication systems including facial, iris, voice, and behaviour/emotion recognition systems constantly evolving.
– Sonam Chawla