Beyond the Data Lake: Leading Cross-Domain Operational Intelligence

Leadership Kamal Hathi

Key takeaways

  1. Traditional data lakes alone cannot keep up with today’s fast-moving security and operations needs, so organizations must activate their data in real time to stay resilient.
  2. Cisco and Splunk address this by using a data fabric that connects data across systems, enabling faster insights and actions without costly data centralization.
  3. By combining real-time analytics with AI-driven automation, organizations can move from reacting to threats to predicting and preventing them more efficiently.

As we wrap up RSAC, one theme that repeatedly emerged in conversations with security leaders is that the modern enterprise has reached a critical inflection point where the velocity of machine-generated telemetry has outpaced the capacity of traditional architectures. This trend requires an approach that moves beyond the storage of information to the activation of it in ways that don’t simply exacerbate alert fatigue. The industry is realizing that while a data lake is a foundational requirement for historical reporting, it is fundamentally insufficient for the demands of real-time security and operations.

What’s required is a combination of a data fabric that is purpose-built for security operations and agentic capabilities that enable detection and response at machine speed. Core to this is unlocking the untapped value of machine data for AI.

In order to counter the emerging threats from AI itself, the data fabric must not only be powered by AI, but also enable trust by providing visibility into AI. And to be practical, it must scale nearly infinitely while keeping costs very finite.

At Splunk, now a part of Cisco, we have architected and delivered the platform that helps make this possible. We call it the Cisco Data Fabric. It is designed for security and cross-domain operations and not just a generic data lake. We are closing the “resilience gap” that exists between raw data and decisive action by integrating the Cisco Data Fabric with our vision for the Agentic SOC. Our mission is to move the enterprise beyond the limitations of centralized silos and reactive security. We provide a unified, cross-domain command center that anticipates threats and optimizes operations in real-time.

Here is how we are redefining the standard for security operations in the agentic era through a three-layer system of intelligence.

1. Layer 1: Intelligent Data Access via Cisco Data Fabric

Traditional approaches suggest that the only way to manage data is to move and copy it into a massive, centralized silo. For a modern enterprise, this is not only costly; it's impractical.

The Cisco Data Fabric allows data to reside where it is generated, enabling standardized telemetry access without requiring a “rip-and-replace" strategy. This flexibility allows organizations to maintain a “best of all worlds” architecture, integrating seamlessly with existing environments rather than being forced into a rigid, single-path infrastructure. This is the critical first layer: providing seamless access to data without the latency and cost of forced centralization.

2. Layer 2: Real-Time Execution vs. Passive Analysis

There is a fundamental difference between analyzing data and operating a system in real time. General-purpose data lakes are designed for “cold” storage and batch processing, but cybersecurity and mission-critical operations require always-on execution loops.

The Splunk Index is engineered specifically for low-latency, purpose-built indexing and continuous correlation. These capabilities cannot be “bolted on” to a data lake without significant trade-offs in speed and reliability. We maintain this real-time edge, even in a federated world, through Federated Analytics. Unlike traditional federated search, which often suffers from “remote query lag,” our architecture uses the Cisco Data Fabric to intelligently route critical telemetry into high-performance data lake indexes on demand. This allows you to run high-frequency alerts and complex security detections over data residing in a lake with the same sub-second performance as local storage.

By maintaining the execution layer at the heart of our architecture, we help ensure that detections and workflows happen at the speed of the threat, not the speed of a database query.

Businessman working on spreadsheet on laptop at conference table in office

3. Layer 3: Governed Action with the Agentic SOC

While many vendors are still trying to move from storage into reasoning, Cisco already sits at the execution layer. We are delivering a closed-loop system that moves from insight to remediation automatically:

4. The Economic Result: Efficiency at Scale

The narrative that “generic is cheaper” fails when applied to the complexities of enterprise security. By leveraging this three-layer architecture, we have fundamentally transformed the economics of data.

Because we don’t require the massive compute overhead needed to perform complex security correlations on top of a general-purpose lake, we provide a more high-performance, efficient alternative. We deliver deeper insights at a lower total cost of ownership than unspecialized platforms that force customers to pay for the “data tax” of moving and re-processing information.

5. A Federated, Cross-Domain Platform

A SIEM is only one piece of the puzzle. True resilience requires a platform that spans the entire enterprise. Cisco and Splunk provide a unified, cross-domain experience across Security, ITOps, NetOps, and DevOps.

The future of digital operations isn’t found in a static data lake; it is found in a mature, scalable, and agentic platform built on three layers: Data Access (Fabric), Real-Time Execution (Index), and Governed Action (Agents). Cisco and Splunk provide organizations with the resilience and intelligence required to operate in the modern world.

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