Okta Index Shows Enterprises Mixing AI Platforms
Okta's Enterprise AI Index, published July 16, found that most customers in a sample of more than 20,000 organizations used multiple AI platforms by June 2026. The study tracked sanctioned applications accessed through Okta single sign-on, so it measures deployment within Okta's customer base rather than the entire market, and it points to growing governance demands as companies combine AI tools.
Okta published its Enterprise AI Index on July 16 after analyzing anonymized application-access data from more than 20,000 organizations between June 2022 and June 2026. The report found that most customers in the study used more than one AI platform, while the share using only one provider fell 1.2 percentage points in June from May.
What the index measured
The study tracked 109 AI products and brand aliases accessed through Okta Workforce Identity, then consolidated them into 74 product suites. It covered foundation-model services, developer tools, enterprise search, collaboration and productivity software, meeting tools, and creative applications.
That scope matters. The index reflects sanctioned applications reached through corporate single sign-on. It excludes personal accounts, unsanctioned tools, cloud-hosted model access, AI infrastructure, data-platform features, and cybersecurity AI. Okta also cautions that its customer base may not represent the wider market. The findings are therefore a view of formal deployment among Okta customers, not a global enterprise market-share ranking.
Startups grew quickly, incumbents retained scale
Okta separated the products into AI-native companies that increased their enterprise customer base by more than four times during the study period and established vendors that grew below that threshold. Anthropic, OpenAI, and Cursor were among the AI-native group; Microsoft 365, Google Workspace, GitHub, Slack, Adobe, Figma, and Notion were among the established products.
The report says Anthropic passed OpenAI in enterprise accounts in March 2026 and in monthly active users the following month. But Microsoft 365 remained much larger: Anthropic had less than half its enterprise-account volume and less than one-tenth its monthly active users. The comparison shows why rapid growth and installed-base scale should not be treated as the same metric.
Why multi-platform use changes governance
Okta frames the move from autocomplete to chat and then task-performing agents as a change in both capability and access risk. Independent reporting from Help Net Security likewise notes that each additional platform can add identities, tokens, permissions, and connections to corporate systems.
For data and AI teams, the practical lesson is narrow: vendor adoption should be measured alongside access scope. A multi-tool strategy may let teams choose specialized products, but it also makes inventory, least-privilege controls, lifecycle reviews, and auditable non-human identities more important.
Key Points
- 1Okta analyzed sanctioned AI-application access across more than 20,000 organizations from June 2022 through June 2026.
- 2Most organizations in the study used multiple AI platforms, while single-provider use fell 1.2 percentage points in June.
- 3The index reflects Okta SSO customers and excludes unsanctioned tools, personal accounts, cloud model access, infrastructure, and several embedded-AI categories.
Scoring Rationale
A first-party dataset covering more than 20,000 organizations offers useful evidence about formal enterprise AI deployment and multi-vendor governance, but the sample is limited to Okta customers and sanctioned SSO applications.
Sources
Primary source and supporting public references used for this report.
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