Enables Large Language Models to query a unified database of security detection rules from various formats.
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
Enables AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP).
Provides a production-ready Model Context Protocol server for threat hunting knowledge base systems, integrating PEAK, SQRRL, and intelligence-driven methodologies.
Enables querying live Splunk data from Large Language Models (LLMs) using natural language through a Model Context Protocol (MCP) interface.
Enables AI assistants to interact with Splunk Enterprise and Splunk Cloud for data searching, index management, and server information retrieval via a standardized interface.
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