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“In the Era of Agentic AI, Digital Resilience is a Competitive Advantage”

Google 우선 소스Published2026.03.18 10:24

▲ Cory Minton, Splunk Global Chief Technology Officer (CTO)

Establishing a reliable operating system for data and AI control is a condition for corporate survival.
The goal is to utilize AI for proactive prediction, automated response, and minimizing business impact.

As artificial intelligence (AI) fundamentally changes the way industries operate, 'Digital Resilience,' which stably protects and optimizes the entire AI environment, is the key to corporate competitiveness.

Splunk held the 'Splunk Go 2026 Seoul' event in Seoul on the 18th and presented new security and observation strategies required for the era of agentic AI through technology integration with Cisco.

Cory Minton, Splunk's Global Chief Technology Officer (CTO), who delivered the keynote speech that day, emphasized, "As AI enters the era of agentic AI that moves beyond mere recommendations to make decisions and take action on its own, the meaning of digital resilience is also fundamentally changing."

CTO Minton assessed that companies are currently standing at the intersection of two massive changes.

On the one hand, AI and agentic systems are redefining work productivity and decision-making, while on the other hand, applications, inThe vast amount of machine data generated by the system, users, and the AI system itself is increasing explosively.

He said, “The problem is not the amount of data, but how to manage, understand, and translate it into action.”

Splunk and Cisco presented 'Cisco Data Fabric' as the core foundation to address this.

This is a data-based architecture that enables access, management, and governance of data distributed across networks, clouds, and AI systems, regardless of location. The Splunk platform serves as the execution engine for this data fabric and is responsible for large-scale data search, federated search, data lifecycle management, and data preparation for AI utilization.

What attracted particular attention was the 'Splunk hosted AI model' and the machine data lake strategy.

It is designed to enable AI analysis and automation to be performed immediately where the data is located, without the need for customers to build and operate AI models themselves.

This enables AI-based prediction, detection, and response across security, observation, and IT operations.

In the security field, the concept of an 'Agentic SOC (Security Operations Center)' was presented as a key element.

This is a next-generation security operations model in which AI agents automate and assist the entire detection, investigation, and response process, allowing analysts to focus on high-value tasks.

CTO Minton emphasized, “As AI-based attacks become more sophisticated, security must also be redesigned based on AI,” adding that “Agentic SOCs are already a reality, not a roadmap.”

The change is also distinct in the observability domain.

Splunk has enabled integrated management of performance, cost, reliability, and security through 'AI Agent Monitoring,' which includes AI agents and the AI infrastructure itself as observation targets.

In particular, it was emphasized that the economic viability of AI operations can be ensured by tracking token usage and costs in real time, and that even anomalies or hallucination issues can be detected.

“Digital resilience is no longer limited to recovery after a failure,” said CTO Minton.He said, “The goal is to utilize AI to predict in advance, respond automatically, and minimize business impact.”

He added, “The combination of Splunk and Cisco will provide a foundation for trusted security and observation for enterprises in the AI era.”
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