Enterprises Demand Greater Control Over AI Data and Compliance as Agentic Systems Take Hold
Summary
As agentic AI systems take hold in enterprises, organizations are urgently demanding greater control over data, model deployment, and regulatory compliance, with IBM's Sovereign Core emerging as a key solution offering security, compliance evidence, and deployment flexibility within an organization's own boundaries.
Key Points
- As AI shifts from chatbots to action-taking agents inside organizations, enterprises are urgently demanding greater control over where their data lives, where models run, and whether AI systems comply with internal and external regulations.
- IBM's Priya Srinivasan highlights how digital sovereignty is becoming critical for governments and regulated industries, with IBM's Sovereign Core software bringing security, compliance evidence, and deployment flexibility within an organization's own boundaries.
- A key challenge facing enterprises is that compliance requirements are slowing AI projects from reaching production, making governance frameworks like 'sovereignty with receipts' essential for balancing speed, cost, and innovation in the agentic AI era.