The Identity Security Automation Gap: Key Insights and Solutions

In this video, we explore the pressing issue of identity security automation, based on new research from Cerby that reveals critical gaps in current practices. What you’ll learn: We will dive into the findings from Cerby's report, which surveyed over 500 IT and security leaders, highlighting the alarming reliance on manual processes in identity management. You'll discover how these practices expose organizations to significant risks and breaches, as well as the challenges that prevent effective automation. Furthermore, we will discuss actionable steps organizations can take to close the automation gap and enhance their security posture. The report indicates that fewer than 4% of security teams have fully automated their core identity workflows, with many still relying on human intervention for critical tasks like Multi-Factor Authentication and user provisioning. This reliance on manual processes is not only inefficient but also increases the risk of human error, which is a leading cause of security breaches. In fact, the Verizon 2025 Data Breach report found that human error was involved in 60% of breaches, underscoring the need for better automation in identity security. The consequences of these manual processes are tangible, with 52% of enterprises reporting breaches due to manual identity work, leading to customer loss and diminished partner trust. As organizations grapple with application sprawl and fragmented infrastructure, the path to automation becomes increasingly complex. However, the good news is that organizations don't need to overhaul their existing systems to achieve better automation. Instead, they can enhance their current identity management solutions by integrating automation where it’s needed most. Forward-thinking organizations are already exploring AI solutions to bridge the automation gap, although trust in AI remains a concern among security leaders. As we look to the future, it’s crucial for organizations to adopt a collaborative approach, combining human oversight with automation to strengthen their identity security frameworks. By taking proactive steps to close the automation gap, businesses can significantly reduce their exposure to identity-related risks and enhance their overall security posture.