Enterprises are facing significant challenges in managing security alerts, with an average of 11 person hours required to investigate and resolve a single critical identity-related alert. This delay is a significant bottleneck for security teams, especially as AI introduces new complexities and potential attack vectors. The fragmentation of identity across cloud services, developer platforms, and infrastructure resources complicates the monitoring of access pathways for both human and AI users.
The rapid evolution of AI technologies further exacerbates these challenges, as AI can lower the cost of identity attacks and increase their frequency. To enhance security, it is crucial to eliminate anonymity and human error, unify identity management, and improve visibility into identity activities. The prevalence of credential theft, accounting for a significant portion of data breaches, underscores the need for contextual insights in security investigations.
As businesses increasingly deploy AI agents, the risk of over-privileged access and data privacy issues grows, with many companies expressing concerns about these developments. The use of multiple tools to manage identity-related security issues highlights the need for a cohesive approach to identity management.
Current cybersecurity solutions often fail to provide a comprehensive view, leaving organisations vulnerable to threats and compliance challenges. The complexity of IT environments creates blind spots and bottlenecks, hindering productivity and increasing the risk of breaches. To address these issues, a shift towards unified, cryptographic identity and just-in-time access is necessary to minimize the attack surface.
In response to these challenges, new solutions are emerging that offer full identity chain observability, enabling security teams to quickly identify risky activities and reduce the time spent on investigations.
