CIB Egypt

A I is having a transformative impact across numerous industries including ‘Banking, telecommunication and hospitality,’ and identity and access management (IAM) sits at the heart of organization’s security strategy.

It's the powerful combination that strengthens an organization's defenses in today's ever-evolving threat landscape.

On the one hand, we can see that traditional IAM relies on static rules and permissions. Here comes the AI injects intelligence, enabling features like risk-based authentication and anomaly detection. This adaptability allows IAM to respond more effectively to real-time threats and user behavior.

On the other side As AI becomes more prominent, securing the systems and data it used becomes paramount. IAM provides the essential controls to ensure that only authorized users and processes have access to this critical information.

In today's data-driven world, information security is paramount.

  ​Both AI and IAM are business enablers. The intersection of AI and IAM is a rapidly evolving field that is revolutionizing security practices; AI injects intelligence into IAM, making it more adaptable and responsive to threats. IAM, in turn, secures the foundation upon which AI systems operate  

IAM acts as our digital fortress and core information security control when it comes to enforcing data security, enhancing regulatory compliance, and preventing unauthorized access to corporate crown jewels information and assets.

Modern IAM solutions went beyond basic access control. Starting from the understanding and automation of core business processes that enable seamless day-today operations through an automated user life-cycle management engine that automates user provisioning, de-provisioning, and access reviews according to clearly defined and approved KPIs, SLAs, and standard operating procedures, moving to comprehensive analytical tools tracking user activities, and defining suspicious behavior helping to proactively prevent security incidents.

Using machine learning (ML) to analyze vast amounts of user data (login times, locations, and devices) to identify anomalies and flag suspicious login attempts.

AI can also be adapted to evolving threats and day-to-day operations. As cybercriminals develop new tactics, AI-powered IAM can learn and adjust authentication protocols in real time, making it harder for them to bypass security measures and easier for legitimate end-users to perform their daily operations seamlessly. AI can automate manual tasks like user provisioning, failed event review and de-provisioning, freeing up IT resources and minimizing human error.