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Okta: AI Agents at Work 2026: Shadow AI & Governance Gaps

Okta
10/12/2026
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employees are increasingly operating beyond the guardrails. That's just one of the findings in Okta's new report, AI Agents at Work 2026, a global survey of nearly 800 business leaders and employees across seven countries, revealing the growing security, identity, and governance risks of AI agents in an enterprise. First, shadow AI is widespread. The vast majority of executives surveyed, 92%, say autonomous AI agents are already being used across their organizations. And while 90% of executives say they're confident they have visibility into those AI tools, more than half of employees admit they're using AI tools without approval, often through personal accounts. And why? Well, 57% say approval processes are too slow or difficult. And they say approved tools don't meet their needs. Second, governance gaps are already leading to real-world consequences. More than half of executives surveyed, 58%, say their organizations experienced an AI-related security incident or close call within the last year. Yet only 53% say their organizations have an established strategy guiding AI deployment. Third, employees are sharing sensitive information with AI tools. 29% of workers admit to sharing confidential company documents with AI systems. 36% are sharing HR-related information. And 16% report sharing login credentials and passwords. Organizations are also increasingly granting AI tools access to internal systems like inboxes, collaboration platforms, cloud storage, and CRM databases. Fourth, AI policies remain unclear across many organizations. While 65% of executives believe their company's AI usage policies are very clear, 57% of workers disagree, describing these policies as unclear, difficult to find, or non-existent. And finally, identity and access controls remain inconsistent for AI agents. Only 34% of organizations say they consistently apply the same security controls to AI agents as they do to human employees. That creates what the report describes as a dangerous double standard. Now that doesn't mean AI agents aren't driving real productivity gains. The concern is whether enterprise governance, visibility, and identity controls are evolving fast enough to keep up. So what can organizations do about it? The report recommends assuming shadow AI already exists and making AI discovery a priority. It also argues organizations need to make secure AI workflows easier to use because when approved systems create too much friction, employees will continue finding workarounds. And perhaps most importantly, the report says AI agents should be treated as first-class identities, with their own visibility, governance, and permissions. To learn more, check out our recent series exploring the secure agentic enterprise and the role of Okta's latest solution, Okta for AI Agents, in addressing these challenges. You can watch the full series now in Okta's newsroom. Till next time, I'm Diana Blass.

TL;DR

  • Shadow AI is pervasive: 92% of executives say autonomous AI agents are already in use, yet more than half of employees admit using unapproved tools, often through personal accounts.
  • Governance gaps are causing real harm: 58% of executives report an AI-related security incident or close call in the past year, while fewer than 54% have a formal AI deployment strategy.
  • Sensitive data is at risk: employees are sharing confidential documents, HR data, and even passwords with AI systems, while organizations grant AI tools broad access to internal platforms.
  • AI agents lack consistent identity controls: only 34% of organizations apply the same security standards to AI agents as to human employees, creating what the report calls a dangerous double standard.

Summary

This video presents highlights from Okta's AI Agents at Work 2026 report, a global survey of nearly 800 business leaders and employees across seven countries. The findings reveal a striking disconnect between executive confidence and ground-level reality: while 90% of executives believe they have full visibility into AI tool usage, more than half of employees admit to using unapproved AI tools — often through personal accounts — because approval processes are too slow or approved tools fall short of their needs. The governance gap has real consequences: 58% of executives report their organizations experienced an AI-related security incident or close call in the past year, yet fewer than 54% have an established AI deployment strategy in place. Sensitive data exposure is a growing concern, with employees sharing confidential documents, HR information, and even login credentials with AI systems. Policy clarity is another fault line — 65% of executives believe AI policies are clear, but 57% of workers describe them as unclear, hard to find, or nonexistent. Perhaps most critically, only 34% of organizations apply consistent security controls to AI agents as they do to human employees. The report recommends treating AI agents as first-class identities with dedicated governance, making secure AI workflows frictionless, and proactively discovering shadow AI already operating within the enterprise. Okta positions its solution, Okta for AI Agents, as a direct response to these challenges.

Chapters

0:00 - Introduction & Survey Overview
0:33 - Shadow AI Is Widespread
1:07 - Governance Gaps & Security Incidents
1:31 - Sensitive Data Exposure Risks
2:00 - Policy Clarity & Identity Controls
2:50 - Recommendations & Okta's Response

Key Quotes

0:36 "The vast majority of executives surveyed, 92%, say autonomous AI agents are already being used across their organizations."
0:50 "More than half of employees admit they're using AI tools without approval, often through personal accounts."
1:12 "More than half of executives surveyed, 58%, say their organizations experienced an AI-related security incident or close call within the last year."
2:34 "That creates what the report describes as a dangerous double standard."
3:08 "The report says AI agents should be treated as first-class identities, with their own visibility, governance, and permissions."

FAQ

Why are employees using AI tools without approval?

According to the survey, 57% of employees say approval processes are too slow or difficult, and they report that approved tools often don't meet their actual needs — driving them to find workarounds through personal accounts or unsanctioned applications.

What does the report recommend organizations do about shadow AI?

The report recommends three actions: assume shadow AI already exists and make AI discovery a priority; reduce friction in approved AI workflows so employees don't seek workarounds; and treat AI agents as first-class identities with their own visibility, governance, and access permissions.


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