Okta's CTO Bhawna Singh discusses AI adoption, innovation and the four critical identity patterns needed to build the trust that accelerates AI implementation.

Topics Include:

AI innovation races ahead while adoption lags due to trust and security concerns
Research shows 82% plan AI deployment but 61% of customers demand trust first
AI coding tools dramatically reduce development time, accelerating software delivery cycles
AI interaction evolved from ChatGPT conversations to autonomous headless agents working independently
Future envisions millions of agents making decisions and communicating without human oversight
Complex data relationships emerge as agents access multiple dynamic sources simultaneously
Trust fundamentally starts with identity - the foundation for all AI security
Four critical identity patterns needed: authentication, API security, user confirmation, and authorization
Authentication ensures legitimate agents while token vaults enable secure agent-to-agent communication
Asynchronous user approval prevents rogue decisions like the recent database deletion incident
Industry standards like MCP protocol establish minimum security guardrails for interoperability
Trust accelerates AI adoption through security, accountability, and collaborative standard-building efforts

Participants:

Bhawna Singh – CTO, Customer Identity, Okta

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