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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.
Contract-based behavioral observability for AI agents, built natively on Splunk. Know not just that your agent ran but whether it was allowed to do what it did.
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.
A 'code-mode' MCP server that allows LLMs to safely generate and execute JavaScript code that calls forensic tools, high-level workflows, and employs classical ML algorithms, using SIFT workstation.
A fully autonomous forensic investigator with 140+ typed tools, quality-gated phases, adversarial self-review, and an architecture that makes hallucinated findings nearly impossible.
Built on the idea that we're all smarter than any of us: TRUDI pairs an autonomous DFIR agent with an AI reviewer that challenges its findings, so every conclusion is traceable and trustworthy.
Privacy-first AI agent for humanitarian organizations that scans cloud services for sensitive data exposure and fixes it, powered by Auth0 Token Vault and IBM Granite 4.
AI-integrated ads seamlessly embedded into the background.
