Agentic AI Challenges Digital Resilience

Digital resilience, the ability to withstand and recover from digital disruptions, is becoming increasingly critical as agentic AI systems gain prominence. These autonomous systems, which can plan and execute tasks proactively, present new challenges to service continuity, security, and cost control. While AI investment is projected to reach $1.5 trillion by 2025, many business leaders remain uncertain about their organizations' ability to manage unexpected events.

The Role of Data Fabrics

To address these challenges, organizations are adopting data fabrics—integrated architectures that connect and govern information across business layers. Machine data, including logs and metrics from devices and systems, is essential for agentic AI to understand context and adapt continuously. Kamal Hathi, SVP at Splunk, highlights that agentic AI systems rely on real-time access to this data to drive digital resilience.

Data Integration Challenges

However, few organizations have the necessary machine data integration to fully enable agentic systems. This lack of integration can lead to errors and limited capabilities. Hathi recommends a data fabric design that integrates fragmented assets from security, IT, business operations, and the network. This involves breaking down data silos, implementing a federated data architecture for unified data access, and upgrading data platforms to handle unstructured data streams.

AI's Role in Building Data Fabrics

AI itself can assist in creating data fabrics by identifying relationships between disparate data and correcting errors. Agentic AI can also augment human capabilities in detecting anomalies, further enhancing digital resilience. While AI enhances decision-making, Hathi stresses that human oversight remains essential for trustworthy AI use, positioning it as assistive intelligence.

Implications for Business Leaders

As agentic AI continues to evolve, business leaders must prioritize data integration and real-time access to machine data to ensure digital resilience. By adopting data fabrics and leveraging AI for data management, organizations can better prepare for digital disruptions and maintain service continuity in an increasingly complex technological landscape.