Designing Digital Resilience in the Agentic AI Era

Why It Matters

A robust data fabric is critical for firms to safely scale agentic AI, turning it into a resilience‑enhancing collaborator rather than a source of new risk, and thereby protecting service continuity and cost control in an AI‑driven market.

Summary

Enterprises are confronting a heightened need for digital resilience as agentic AI—autonomous systems that plan, reason, and act with minimal human input—moves from pilot projects to core operations. The technology’s speed, scale, and reliance on real‑time machine data (logs, metrics, telemetry) amplify the impact of data inconsistencies and security gaps, prompting leaders to adopt a data‑fabric architecture that unifies structured and unstructured data across security, IT, and business layers. Splunk’s SVP Kamal Hathi argues that a federated, real‑time data fabric enables AI agents to sense risks, prevent disruptions, and recover quickly, while AI‑powered tools can automate data integration and anomaly detection. However, he stresses that human oversight remains essential to guard against AI‑induced failures and maintain trustworthy operations.