A：Only 22% of enterprises have a way to identify their AI agents.

A：Okta's AI strategy is a key driver of the company's overall performance, particularly in the first quarter of fiscal 2027, with results being influenced by strength with large enterprises, partner engagement, and contributions from newer products.

A：Okta's three unique advantages in securing AI are distribution, product breadth, and neutrality.

A：The Secure Agentic Enterprise is an industry framework for bringing AI agents under control by answering questions about their location, connections, and capabilities. Okta for AI agents is the first implementation of this blueprint, providing a single control plane to discover, govern, and manage agents.

A：Okta for AI agents helps manage and govern AI agents as first-class identities using an organization's existing identity management system. It provides visibility and control over the agents' sprawl, including credentials, privileges, and the ability to act on a user's behalf.

A：Neutrality is important for Okta as it allows the company to partner with various AI providers and platforms without vendor lock-in, giving customers flexibility. As the leading independent and neutral identity platform, Okta can secure identities across different AI frameworks and ecosystems.

A：Okta has formed partnerships with technology leaders ranging from ISVs to hyperscalers to enhance its AI strategy, including ServiceNow, Google, and others. These partnerships integrate Okta's identity solutions with various AI platforms and frameworks.

A：Okta is focusing on product innovation, executing well in the market, and has a strong balance sheet with significant cash reserves. It plans to take advantage of the undervalued share price and continues to evaluate capital allocation priorities for sustainable long-term value to shareholders. The company is also seeing improvements in sales productivity and pipeline build, as well as increased partner sourced bookings.

A：The updated business outlook for the full year FY 27 includes total revenue growth of 9% to 10%, a non GAAP operating margin of 25% to 26%, and a free cash flow margin of 27% to 28%.

A：The anticipated impact of the shift to partners is a lower professional services revenue and a one-point impact on the FY 27 free cash flow margin due to lower interest income.

A：Customers are deploying agents and are in the early stages of thinking about and putting in place programs for governed and managed adoption of AI. They are just starting to consider how to secure connections, monitor agents, and support them from multiple platforms.

A：The integration of AI is still in the early stages and is not significantly contributing to the business in Q1. However, the interest is very high, and the company is investing heavily in R&D for AI agents, which is seen as a strategic priority.

A：The shift to a more strategic importance of Okta is reflected in the company's numbers through a 12% revenue growth, net retention improving to 107%, and an increase in cash receipts percentage (CRP) to 12.

A：The anticipated effect of the security threat environment is that boards and CEOs are reinforcing the fundamentals of security and are willing to invest in it, including identity, zero trust environments, and multi-layer defense. This fundamental focus is seen as beneficial for the identity security market.

A：Octa's role in the runtime authorization and policy enforcement area is to provide a directory of agents across multiple platforms and systems, and to set policies on what these agents can connect to. It interacts with the embedded capabilities by offering a source of truth for the location and access rights of agents and by integrating with various protocols and applications.

A：The authorization layer is designed to scale in a very scalable way, providing a middle layer that controls the interactions and actions of agents across different applications and platforms. Its purpose is to facilitate and control these interactions without requiring the customer to reconfigure their existing applications, offering a flexible solution for managing agent capabilities.

A：The fundamental truths mentioned by the speaker are that many companies will provide Gena capabilities across various platforms, including hyperscalers, foundational model platforms, and open source platforms. Applications will gain agenda capabilities, with directories, policy layers, and connection requirements being essential. Companies are looking for flexibility and choice, prompting a move towards an independent and neutral identity layer that can solve these problems without locking them into a single solution.

A：The pricing strategy for AI agents is consistent with past product pricing, based on an uplift to a named user or an uplift to a monthly active user. This approach is informed by customer conversations and is pragmatic, focusing on real customer requirements. The reason for pricing based on named and active users is customer consumption preferences and the current use cases, where AI agents typically operate on behalf of users. The expectation is that this will evolve with more autonomous agents being priced differently, likely by the number of agents rather than users. Currently, the average deal size for AI-specific deals is significantly larger than for the rest of the company, indicating a positive uplift in deal sizes.

A：The AI agent pipeline is described as larger than anything the company has seen before, though not all pipeline translates directly into revenue. However, the company is optimistic about converting the pipeline into real dollars, especially given the significant investment in AI products and the strong demand indicated by customer conversations.

A：The Octa pipeline is bigger than the AI for agents pipeline. The reason for this difference is that companies that are managing and deploying internal agents are further along than those building agents in products and on websites. However, both platforms are considered to be significant opportunities for the future.

A：The company views the short-term bookings growth as very durable. The performance in the business is deemed sustainable and is underpinned by the critical infrastructure nature of the products offered. Identity infrastructure, whether for people or customers, is sticky and once established leads to long-term, profitable relationships. The company is confident in the durability and sustainability of these trends, especially with the growth in the AI sector just starting.

A：Large customers now represent 85% of ACV, up from 80% previously. This shift is significant as it indicates a change in the customer mix towards larger organizations, which generally have a more significant impact on ACV (Aggregate Contract Value). While the exact reason for this shift is not specified, it likely reflects a strategic move towards focusing on high-value, strategic partnerships that can drive substantial revenue.

A：The significance of the large deal sizes is twofold: firstly, they indicate a substantial need for change in the customers' tech stack to modernize identity and ensure its efficacy; and secondly, they suggest strong momentum and success in engaging with hundreds of enterprises, underpinning a very strong pipeline.

A：The deals are big because customers have a pressing need to govern their AI agents, which only 22% of them are confident they can do effectively. This creates a quantifiable exposure that enterprises must invest in to address, which is where the company aims to provide solutions. Unlike other new products that might start with small deals and grow, these are substantial from the outset.

A：The role of model providers in the cybersecurity ecosystem is a topic of debate. While partnerships with model providers are seen as necessary for providing a comprehensive platform, it is acknowledged that the partnerships have not yet significantly influenced customer conversations. The envisioned ecosystem is expected to involve a collaborative effort where different entities work together, with identity providers focusing on providing the best foundation and connecting with other tools to help customers achieve great outcomes.

A：The company's blueprint stands out in the market by offering a clear and comprehensive guide to identity governance, which was created in response to customer feedback. The blueprint defines the various roles and methods in the field, helping to differentiate the company's offerings and gain credibility.

A：The company's strategy for implementing the blueprint and gaining customer traction includes showcasing real-life customer experiences where the company's agent products are going live. These successes will serve as standards and actionable implementations for others to emulate. Additionally, the company's wide distribution and footprint with over 20,000 enterprises will help in engaging in conversations about securing agents and furthering the implementation of the blueprint.

A：The company plans to leverage its existing customer relationships by being the natural partner of choice for its 20,000 enterprises as they look to secure their agents and model as well. Engaging directly with these customers and addressing their needs is expected to result in successful转化 into pipeline and partnerships.

A：The company is evolving its services team to become more architectural, assisting in high-level consulting and enabling GSIs to do the same. This approach is not about getting rid of services but rather repositioning them to focus on architectural consultative roles. The company aims to facilitate more capacity for Octa work in the world, while still maintaining thought leadership and strategic capabilities.

A：The strategy was to encourage partners to source more business with the aim of leveraging their relationship and network to generate partner-sourced revenue and pipeline generation. The positive Q1 results suggest that this strategy is effective.

A：The company is focusing on high-caliber work with customers and partnering with the GSI to achieve scale, while ensuring that they have guardrails in place for vulnerability management and maintaining multi-layer defense capabilities.

A：The company is implementing guardrails to manage inference costs and is focused on obtaining a balanced return on investment for AI tooling and expenses. The company is conscious of the rising industry costs and is developing an ROI-driven investment strategy.

A：The company is cautious about unlimited agent deals and structures them to be time-bound, rather than unlimited in volume. They consider the market to be in a phase of early experimentation and expect to reassess the pricing model based on actual usage after a year. This approach helps mitigate the risk of extended use without clear benefits.

A：The return to fundamentals is positively impacting the core workforce and sales pipelines, with better pull-through rates for solutions around governance, privilege, and access management. Additionally, improvements in customer and support experiences are anticipated to lead to greater adoption of SaaS solutions and potentially disintermediate some 'Frankenstein' DIY solutions.

A：The company feels very positive about the state of its go-to-market strategy. Investments in specialized buyer teams and capacity for both IT security and developer-focused platforms have been made. Improving trends in sales productivity and AE retention have been shared, and the company has added selling capacity in Q1, indicating a robust and effective model that is expected to continue driving increased retention and productivity.