Okta CEO Sees Big Opportunity in AI

Key Concepts

• AI Agents: Software programs designed to perform tasks autonomously, often requiring access to company data to be effective.
• Data Security and Management: The critical need to connect AI agents to company data in a secure and controlled manner.
• Vendor Lock-in: The risk of being tied to a single platform or provider, limiting choice and flexibility in technology adoption.
• Open Ecosystem: A strategy that allows customers to choose best-of-breed solutions from various providers, fostering innovation.
• Identity Security: The foundational element for securing AI and ensuring that agents have appropriate access to data.
• Generative AI Solutions: AI tools that can create new content, such as text, images, or code.

Summary

The Opportunity in AI Agents and Data Security

The business is experiencing strong performance, with a solid third quarter. The market is increasingly recognizing the immense opportunity in securing the future of AI. A core realization is that to secure AI effectively, one must first secure identity. Companies are actively developing AI agents, but their utility is directly tied to their ability to connect to a company's internal data. Without this connection, these agents are no more advanced than consumer-grade chatbots like ChatGPT or Gemini. The company positions itself as a solution provider that enables businesses to securely and manageably connect their AI agents to their data, thereby delivering superior agent experiences for both customers and employees while maintaining robust security.

Adoption Challenges and the Company's Solution

Despite significant market interest in AI agents, adoption is currently hindered by a critical challenge: connecting these agents to company data. Companies face two primary problematic choices:

1. Centralized Data Warehouse: Placing all data in a central data warehouse and granting agents broad access. This approach is risky due to the unknown actions agents might take with the data.
2. Watered-Down Experience: Limiting the agent's capabilities to a basic, consumer-like experience, similar to using public AI tools.

The company offers a superior alternative by enabling secure data connections with robust governance and management capabilities, which is driving high interest. This is seen as a significant "unlock" for the AI market.

Competitive Landscape and the Open Ecosystem Advantage

In the identity management space, the company competes with large players like Palo Alto Networks and Microsoft, who also offer AI and agent solutions. The company differentiates itself by advocating for an open ecosystem, contrasting it with the "all-in-one" approach of some large platforms.

• Analogy: The speaker uses a streaming service analogy: some platforms force users to choose only one service (e.g., Netflix), hoping all desired content is available there.
• Company's Approach: The company allows customers to choose any technology they prefer, integrating models from Google, infrastructure from Amazon, and application data from Salesforce, making them work together seamlessly. This "choose any show you want to watch" approach avoids vendor lock-in and caters to the rapidly evolving AI landscape where new models and technologies emerge weekly. Customers value this choice, and the company provides it.

Market Perception vs. Internal Outlook on Revenue Growth

While the market's perception of the company's revenue growth is somewhat subdued, projecting sub-10% growth, the company sees a different picture. They observe:

1. A Solid Core Business: Profitable and growing at a healthy pace.
2. Massive Upside Potential: The opportunity in securing AI is substantial, potentially exceeding the company's core business.

The discrepancy lies in the market's uncertainty about the speed and scale of this AI opportunity's materialization. The company is confident in its potential but acknowledges the need for diligent work with customers to realize it.

Unsticking Adoption: How Companies Are Implementing AI

The company observes a multi-faceted approach to AI adoption:

• SAS Provider Generative Solutions: Companies are showing interest in generative AI solutions offered by SaaS providers, though these are often limited to a single application or service.
• Organic Internal Development: Many companies are building their own AI capabilities, using developer tools to connect to multiple databases and warehouses across various SaaS applications.
• Consultant Involvement: Consultants are actively engaged in helping companies navigate these challenges.

The key to unsticking adoption lies in addressing critical elements like security, identity, context, and appropriate access permissions. These factors are crucial for unlocking the profound potential of AI to enhance employee productivity and enable companies to expand into new industries and markets. This technology is poised to be a significant benefit for both established and emerging businesses.