Todd McKinnon said Okta’s quarter was strong because AI is increasing, not reducing, the need for identity security. He argued that companies deploying AI agents need to know where those agents are, what they can access, and how to secure them, which plays directly to Okta’s identity products.
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This is an Okta earnings interview centered on the company’s after-hours beat and the emerging AI-agent security narrative. McKinnon’s core thesis is straightforward: rather than displacing security, AI is creating a new security problem that makes identity infrastructure more important. He said the company saw “broad strength across the entire product portfolio” and described the quarter as “a solid performance across the board for Okta.” His main supporting argument was that large enterprises are moving from generic AI experimentation to actual deployment of fleets of agents, and those agents need to be treated as first-class identities. In his framing, customers must answer three questions: where the agents are, what they can connect to, and what they are allowed to do. …
Tactically, Okta is trading on an earnings beat plus a fresh AI-security narrative, so momentum may persist if investors buy the idea that agent identity is an immediate need. The near-term risk is that the move fades if the market treats the story as hype rather than recurring demand.
Over the next several months, the stock case depends on whether enterprises start deploying multiple AI agents in production and need a standardized identity layer to manage them. Confirmation would come from sustained guidance strength and broader adoption of Okta’s agent-security framing; otherwise the trade becomes just an earnings pop.
Structurally, the interview argues that AI expands the importance of identity controls and makes machine identity a durable security category. If that proves right, identity platforms become a more central layer of enterprise software as humans and agents are managed under one security regime.
Okta beat on the top and bottom lines and the stock rose after hours.
The host explicitly states the earnings beat and after-hours move.
AI is increasing the need for security rather than displacing it.
McKinnon directly rejects the initial narrative that AI would reduce security needs.
Large enterprises will deploy fleets of AI agents from many vendors and need to manage them as first-class identities.
He argues that companies will source agents from multiple vendors and must know where they are and what they can access.
Can you walk us through the environment in the quarter, especially around the narrative that AI would displace the need for security?
Todd McKinnon says they are seeing broad strength across the entire product portfolio — identity infrastructure, identity security, workforce identity, and customer identity. He notes that customers are in a volatile time dealing with tech hype and AI news, and they are turning to trusted vendors with proven, reliable systems.
Is treating AI agents as individuals that need to be verified going to be standardized, or is it something you sell to customers as your product approach?
McKinnon explains that every large company is deploying a fleet of AI agents from many different vendors, and they need to answer three questions: where their agents are, what they can connect to, and what they can do. Okta uses its tried-and-true identity technologies to give customers a blueprint and help them execute on securing agents as first-class identities.
As the AI build-out happens quickly with a rush to deploy agents, what is the weakest link in cybersecurity right now?
McKinnon says identity is very important — you have to know where agents are, what they can connect to, and manage them as first-class identities. The first wave of agents and co-pilots weren't connected to much, but now they are being connected to every system, so managing them securely through identity is critical.
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