Ticket Discounts for Cyber Events

GET ALERTS!

Land, Tier, Federate, Activate: Make Your Machine Data AI-Ready in Splunk

Solution Category Security Analytics
Type Webinar
Organization Splunk (a Cisco Company)
Event Format Company Webinar

Webinar Description

Key Takeaways

  • Technical session focused on preparing enterprise machine data for AI agent use cases using Splunk Platform and Cisco Data Fabric
  • Live demonstrations of federated search across cloud and on-premises sources including Amazon S3, Snowflake, Azure Blob, Databricks and AWS CloudWatch Lake
  • Covers data correlation across security, IT and network domains
  • Designed for data engineers, platform specialists, security analysts and IT operations teams in medium to large enterprises

About the Event

This Platform Tech Talk from Splunk (now part of Cisco) examines how organizations can structure their machine data to support AI initiatives. Splunk platform specialists deliver live demonstrations showing how Cisco Data Fabric works with the Splunk Platform to create a data foundation suitable for AI agents.

Technical Focus Areas

The session addresses three practitioner challenges: federating data across multiple sources, correlating data at scale for improved context and analysis, and transforming data for AI consumption. Technologies covered include Machine Data Lake, Agent Launchpad and MCP for third-party AI tool integration. The webinar demonstrates no-code approaches to building AI agents with human approval workflows.

Data Integration and Discovery

Federated search capabilities span both cloud and on-premises data sources. The session covers catalog discovery features and methods for correlating data across security, IT and network domains within a single platform.

Who Should Attend

The webinar targets IT and data professionals working in enterprise environments who face challenges with siloed data, slow onboarding of new data sources, limited data discoverability and difficulty correlating information across operational domains. Relevant roles include Directors of Platform, Data Architects, IT Managers, Security Analysts and AI/ML Engineers.