From Weeks to Minutes: Accelerating Data Intelligence with AI-Powered Data Management

The Strategic Asset in the Agentic AI Era

In the agentic AI era, machine data is your most strategic asset, only if you can harness it. Too often, organizations find themselves trapped in "data chaos," struggling with fragmented tools and siloed information across hybrid and multi-cloud environments.

Splunk Data Management is designed to address this. Our vision is to provide a frictionless, unified, and extensible experience that lets you unify, optimize, and govern your machine data at scale. By building an intelligent data pipeline, Splunk Data Management allows for the transformation of raw telemetry into real-time insights, effectively supporting critical use cases across domains such as SecOps, ITOps, Network Assurance, and Observability.

The Reality Check: Why Data Management Matters Now

By 2028, it is estimated that 394 zettabytes (1 zettabyte is equal to 1 trillion gigabytes) of data will be generated annually1. As data volumes explode, the challenge isn't just getting data into a platform; it’s doing so efficiently. Splunk administrators and data architects face consistent hurdles: lack of data flow visibility, the need for ingestion optimization, complex data transformation requirements, and the sheer pressure of high data volumes.

Our suite of data management capabilities is purpose-built to solve these exact hurdles. Using powerful tools like Edge & Ingest Processor lets your team unlock:

Optimized Data Value & Cost Efficiency: Streamline pipelines with intelligent filtering and masking. By converting verbose logs to efficient metrics and routing only high-value, analytics-ready data, you significantly reduce storage overhead and Splunk Virtual Compute (SVC) consumption.

1. Unified Visibility: Break down silos with seamless collection and enrichment from any source (edge, cloud, or on-premises) by normalizing information for cross-domain analytics.
2. Secure Data Governance: Safeguard sensitive information with robust data masking and redaction at the point of ingest, ensuring compliance with standards like GDPR and HIPAA without compromising operational insight.

Leveraging advanced processing at the source provides a powerful foundation, and we recognize that managing complex data pipelines can be labor-intensive. To help you move faster, we are introducing AI-powered automation to handle the heavy lifting, giving you that valuable time back.

Introducing AI-Powered Data Management

Building on its heritage as the market-leading data platform, the Splunk Platform has evolved to power the Cisco Data Fabric architecture, a transformative framework designed to turn machine data into real-time intelligence for the agentic AI era.

As part of the Cisco Data Fabric, we are excited to announce three new AI-powered data management capabilities, launched in Alpha and Controlled Availability, that eliminate manual toil and accelerate your time-to-value.

Automated Field Extraction (AFE) – Controlled Availability

Manually authoring regular expressions (regexes) for log extraction is time consuming. Automated Field Extraction (AFE) leverages AI to instantly identify patterns and extract relevant fields from ingested data, letting you focus on what data you need while the AI handles the how. Eliminating the manual regex bottleneck ensures that your data is structured and ready for analysis in a fraction of the time, providing a faster route to operational excellence.

The Solution: Within the Data Management UI, AFE analyzes your data sources and suggests fields for extraction during data ingestion and processing. You simply select the fields you need, and the AI handles the complex regex logic behind the scenes.

Upleveling Skills: AFE allows any user to instantly become a data management pro by removing the need for deep regex expertise. By lowering the learning curve for complex parsing, you can uplevel your team's skills and productivity, letting them  quickly implement custom business logic, filtering, and masking.

Security & Privacy: To ensure data security, we host the LLM model used for field extraction internally, keeping your sensitive machine data protected within the Splunk environment.

See it in Action

Guided Onboarding with Auto-Schematization – Alpha

The path from raw data ingestion to actionable insight is often hindered by the complexity of data normalization. Manually building Technology Add-ons (TAs), writing complex regular expressions, and achieving CIM-compliance (Common Information Model) is critical for effective threat detection, but it often takes days or weeks of manual mapping. This AI-assisted workflow transforms that manual onboarding process into a streamlined, automated experience that guides you from raw data to actionable structure. By automating data structuring, you can identify threats faster and deploy security response in minutes.

The Solution: Guided Onboarding with Auto-Schematization uses AI to analyze sample data and automatically recommend the most appropriate CIM data models. This ensures your data is instantly ready for CIM-based detections and high-performance analytics without the manual mapping headache.

Intelligent Analysis: The system clusters similar events and recommends mappings, generating the necessary extraction rules automatically.

Flexible Deployment: You maintain full control. The tool generates either Technology Add-on (TA) packages for search-time mapping or SPL2 pipelines for ingest-time processing, allowing you to choose the best strategy for your environment.

Join the Journey

In the agentic AI era, having a governed, AI-ready data foundation is a competitive requirement. These tools ensure that your machine data is enriched with the context needed to power your autonomous agents and real-time decision-making at scale.

AI-Powered Data Management is a core component of the Cisco Data Fabric architecture, helping to support the agentic enterprise by simplifying the path from raw data to strategic intelligence. Here is how you can start building that foundation today:

Want to accelerate your onboarding? Join the broader Guided Onboarding experience and reach out directly to our Splunk experts.

Your feedback matters. Visit the community slack channel #dm-pipeline-builders with questions for our experts. Stay connected with all things data management by subscribing to Data Management blogs and announcements in Splunk Community.