Show Notes
Is it possible for enterprises to build AI agents they can actually trust?
In this episode of The Deep View Conversations, Senior Reporter Sabrina Ortiz sat down with Priya Srinivasan of IBM to discuss Sovereign Core, IBM’s software designed to enable enterprises to deploy AI in a secure, compliant, and sovereign way.
As AI moves from chatbots to agents that can take real action inside organizations, companies need more than speed. They need to know where their data lives, where their models run, who has access, and whether their AI systems comply with internal policies and external regulations.
Srinivasan explains why digital sovereignty is becoming more urgent in the AI era, especially for governments, regulated industries, and enterprises trying to move AI projects from proof of concept to production. She also breaks down how Sovereign Core is designed to bring the control plane, security, access, compliance evidence, and deployment flexibility inside an organization’s own boundaries.
Topics covered include: What digital sovereignty means in the age of AI Why AI agents raise new questions around governance and trust How IBM Sovereign Core helps enterprises deploy AI workloads Why compliance can slow AI projects from reaching production What "sovereignty with receipts" means How companies can balance speed, cost, compliance, and innovation Why regulated industries need stronger AI governance from day one
If you’re interested in enterprise AI, agents, governance, compliance, or how major companies are trying to make AI production-ready, this conversation offers a look at what the next stage of trustworthy AI deployment will require.
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