Connect Agentforce to live Splunk data, securely.
CData Connect AI lets you plug any business application into any AI tool — like Splunk into Agentforce — for live, trusted answers and actions with zero data copies.
Give Splunk rich semantic context and real-time data from Agentforce so it can answer precisely and take safe, effective actions across your business.
Splunk:
Splunk is a software platform that enables organizations to search, monitor, and analyze machine-generated data in real-time. It helps businesses gain valuable insights into their operations, security, and customer behavior by collecting and correlating data from various sources such as servers, applications, and devices. Splunk is widely used for IT operations, security, and business analytics.
Agentforce:
Agentforce is Salesforce’s agent framework for building and orchestrating autonomous AI agents that work across the Salesforce Customer 360 platform. Agentforce agents can reason, plan, and act using your apps, data, and workflows. With Connect AI, you can give these agents live, governed business data from external systems—without staging it in Salesforce Data Cloud or writing custom Apex/Flow connectors.
Popular Agentforce & Splunk integration use cases
- Autonomous customer service agents — Let Agentforce agents resolve cases using real-time context from Splunk, reducing escalations and handle time.
- Cross-cloud execution — Build agents that orchestrate actions across Sales, Service, and Marketing Clouds using live Splunk data without staging it in Data Cloud.
- Governed writebacks into Salesforce and beyond — Expose only approved read/write operations on Splunk to Agentforce agents, with full RBAC, masking, and request logging.
- Complex, multi-step planning — Equip agents to reason over Splunk data and build multi-step plans, execute tasks, and validate results automatically.
Learn more about CData Connect AI
Splunk to Agentforce Features
Real-time data accessed in-place
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Semantic intelligence & preserved context
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
One connection to both explore and take action
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Enterprise security and governance
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
How It Works: Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Getting Started is Easy:
- Configure data sources (Salesforce, NetSuite, Workday, SQL, Jira, etc.) in Connect AI.
- Create a 'Remote MCP' URL.
- Connect Agentforce to your business data.
Get Started for FREE
Access live Splunk data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live Splunk data with any AI tool that supports MCP. Select your preferred tool below to learn more.
