en.Wedoany.com Reported - Recently, US identity security company Okta released its first-quarter results for fiscal year 2027, with quarterly revenue reaching $765 million, an 11% increase year-over-year. The company also identified AI agent identity governance as the next phase of platform expansion, emphasizing the emergence of a large number of non-human digital identities within enterprises, where the boundaries of identity security are extending from employees, customers, and partners to automated agent systems.
Okta's growth this quarter was primarily driven by subscription business, remaining performance obligations, and demand from large customers. The financial report shows that the company's subscription revenue was $750 million, up 11% year-over-year; remaining performance obligations reached $4.719 billion, up 16% year-over-year; and current remaining performance obligations expected to be recognized over the next 12 months were $2.499 billion, up 12% year-over-year. These figures indicate that identity management is expanding from traditional login, access control, and single sign-on into a broader enterprise security governance system. As enterprises integrate AI agents into office, customer service, R&D, data analysis, and business process automation systems, an increasing number of automated identities need to be identified, authorized, audited, and revoked, meaning the control objects of identity platforms are no longer limited to human accounts.
The company disclosed quarterly operating cash flow of $277 million and free cash flow of $271 million.
AI agent identity governance emerged as the most prominent business theme in Okta's financial report. In the past, enterprise identity security typically revolved around employee accounts, customer accounts, device identities, and third-party system permissions. However, as AI agents enter business systems, they call tools in the background, read files, trigger processes, connect to databases, and perform tasks on behalf of humans within certain permission scopes. Without unified identity identifiers and permission boundaries for these agents, it is difficult for enterprises to determine which person, application, or agent initiated a specific data access, operation command, or business change. Okta proposes using identity as a unified control plane for security-oriented enterprises, meaning identity governance is expanding from "who can log into the system" to "which human and non-human identities can perform which actions under what conditions." This direction is rapidly converging with enterprise zero trust, security auditing, compliance management, and AI workflow governance.
Okta also raised its full-year outlook for fiscal year 2027, expecting annual revenue to be between $3.185 billion and $3.205 billion, representing growth of 9% to 10% year-over-year; full-year non-GAAP free cash flow is expected to be between $855 million and $885 million. For the information security industry, the proliferation of AI agents is creating a new identity management market. Identity platform vendors need to simultaneously cover people, devices, applications, service accounts, and intelligent agents. Future competition will focus on least privilege, cross-system auditing, automated identity lifecycle management, and integration capabilities with existing enterprise security platforms.
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