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Who watches the MCP agents querying your Splunk data? AgentSight does - native Splunk observability for AI agents: real MCP audit logs, agent-specific detections, and splunklib.ai investigation.
Splunk-grounded AI agents that catch risky deployments before they become incidents, scoring deploy risk, finding root cause, and writing human-approved fixes back to Splunk.
A multi-agent AI tool that refines Splunk logs pre-ingestion. It identifies noise, auto-generates nullQueue filters, and quantifies your storage and license savings.
ARGUS finds the gaps in your Splunk detection rules before attackers do. One AI invents new attacks, another fixes the rule, and every improvement is proven live.
An AI agent on an audited state machine: it load-tests a code change, correlates the regression with Splunk telemetry, finds the root cause, and writes the fix, every step streamed back to Splunk.
