Agentic AI
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Artificial Intelligence & Machine Learning
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Governance & Risk Management
Okta’s Shiven Ramji on Visibility, Identity and Hidden Risk
As enterprises rush to deploy artificial intelligence across their organizations, a new largely invisible risk is emerging: shadow agents operating outside of traditional IT oversight. Shiven Ramji, president of the customer identity cloud business at Okta, said many organizations lack basic visibility into where these AI agents exist, what systems they connect to and what actions they’re taking.
See Also: AI Security Risks Rise With Agentic Systems
The problem is accelerating as teams independently experiment with AI to drive productivity gains, often without fully understanding security implications. Ramji said CIOs are under pressure to enable innovation while simultaneously trying to contain risks tied to data access, permissions and potential data exfiltration.
“Most CIOs today are trying to figure out where these agents are to begin with,” Ramji said.
To address this challenge, Ramji outlined three foundational questions that define modern AI security: Where are my agents? What can they connect to? And what can they do? Without clear answers, organizations risk over-provisioned access, insecure integrations and uncontrolled automation inside critical systems.
In this podcast interview with ISMG, Ramji discussed:
- The rise of shadow AI agents and the visibility gap facing CIOs;
- Why non-deterministic AI systems require new governance models;
- How identity and centralized control enable secure AI deployment.
Ramji leads Okta’s customer identity business, where he oversees product, data and security strategy with a focus on securing digital identities at scale, particularly as AI-driven systems reshape how applications access data and execute tasks. He previously had product leadership roles at DigitalOcean, Amazon, NBCUniversal, LiveIntent and The Nielsen Company.
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