Overview
Splunk MCP Server Implementation: Keos installs and configures Splunk's Model Context Protocol (MCP) server on your Splunk environment, enabling AI assistants and LLMs to connect directly to your Splunk data — running searches, retrieving results, and surfacing insights through natural language. AI-Assisted Threat Hunting and Investigation: Once the MCP server is configured, analysts can interact with Splunk using conversational AI tools — asking questions, running ad-hoc investigations, and exploring data without needing to write SPL manually. Automated Workflow Integration: Keos configures MCP server integrations that allow AI models to trigger searches, correlate events, and feed findings into existing Splunk workflows — reducing the manual burden on your SOC and operations teams. Whiteleaf AI Detection Coverage (Optional Add-On): For teams looking to extend AI capabilities into automated detections, Keos can also install and configure Whiteleaf AI's 100+ pre-built security use cases, which surface AI-driven risk scores directly within Splunk Enterprise Security. Validation and Documentation: The full deployment is validated end-to-end, with documentation and weekly status reports delivered throughout the 80-hour engagement.
Highlights
- Splunk MCP server configured to enable AI assistants and LLMs to query, search, and analyze your Splunk data using natural language
- AI-assisted threat hunting and automated investigation workflows reduce manual SPL authoring and accelerate SOC response
- Whiteleaf AI's 100+ pre-built security detections available as a complementary add-on for expanded AI-powered coverage
Details
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