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Okta (OKTA) investor relations material

Okta Status update summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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Status update summary16 Mar, 2026

Industry transformation and agentic technology

  • AI agents are driving a foundational shift in technology, impacting productivity, automation, and business models across industries.

  • The agentic approach is expected to become the standard for technology, with autonomous systems reshaping how organizations operate.

  • Security risks are rising as agentic systems proliferate, with incidents like large-scale cyberattacks highlighting the need for robust controls.

  • Surveys show nearly 90% of organizations have experienced security issues with agentic systems, and only about 20% treat agent identity as a first-class concern.

Blueprint for the secure agentic enterprise

  • A reference architecture has been developed to address three core questions: identifying agents, understanding their connections, and defining their capabilities.

  • The blueprint outlines detection, risk assessment, and integration strategies for agents, including legacy and modern systems.

  • Fine-grained permissions, lifecycle management, and human oversight are emphasized for agent governance.

  • Collaboration across the industry is necessary to implement the blueprint, as no single product can address all needs.

Okta for AI Agents product update

  • Okta for AI Agents operationalizes the blueprint, enabling organizations to inventory, discover, and govern AI agents.

  • Features include agent discovery, integration with existing tools, continuous monitoring, and a governance dashboard.

  • Security controls such as universal logout and centralized identity management are built in to mitigate risks.

  • The product will be generally available on April 30th, expanding access to secure agentic enterprise capabilities.

Explain the role of identity as an AI kill switch
Dell's strategy to decouple revenue from costs
Compare agents as model features vs systems
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