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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:
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