Secure SaaS, Cloud, and AI Identity with Zluri

The modern enterprise identity landscape is no longer defined solely by human users. A proliferation of non-human identities, including service accounts, machine identities, and AI agents, now interact with critical systems. This expansion across SaaS applications, cloud infrastructure, and on-premises environments has fundamentally reshaped the identity attack surface, creating new security challenges that traditional tools cannot address.

Zluri has responded to this evolution by introducing its comprehensive Zluri Identity Security Platform. This solution is designed to help organizations discover, govern, and monitor every identity within their ecosystem. Legacy identity governance tools were architected for an era where employee management was the primary concern. Today, as companies integrate more SaaS, cloud services, and AI-driven automation, security teams often lack the visibility to understand complex identity interactions and associated risks.

Ritish Reddy, CEO of Zluri, highlighted this critical gap. “Automation, AI agents, and service accounts are rapidly expanding the number of non-human identities in the enterprise, yet many organizations lack the visibility and governance needed to control them,” Reddy stated. “Zluri gives security teams a unified way to understand, govern, and monitor identities across their environment.”

The platform provides security and IT teams with three core functions. First, it enables the discovery of every identity, from employees and contractors to service accounts and AI agents, across all connected systems. Second, it governs access through automated workflows for joiner, mover, and leaver processes, enforced access policies, and segregation of duties controls. Third, it continuously monitors for identity risk by analyzing privileges, identity relationships, and access patterns to detect and facilitate the remediation of risky access.

These capabilities are driven by Zluri’s Identity Risk Intelligence System. This engine correlates myriad identity signals to intelligently identify risk and help teams prioritize their remediation efforts, providing a proactive defense in a complex digital environment.