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5 AI agents that act as an autonomous SOC analyst — turning thousands of raw Splunk alerts into prioritized, investigated, and actionable threat intelligence in seconds, not hours
Splunk investigates the alert. TrustOps measures and improves human decisions.
Autonomous Enterprise Digital Twin & Crisis Commander
SPL Guard — inline governance for Splunk MCP agents. Intercepts non-deterministic SPL, rewrites unsafe queries at the edge, and surfaces SVC savings via native Splunk telemetry.
ZKSplunk streams Midnight Network ledger anomalies into Splunk and turns that telemetry into charts and autonomous notifications via email and onchain for quick threat response: observe, decide, act.
Agents get prompt-injected; their reasoning fails. AgentGate enforces access at the network layer below the agent, streams every decision to Splunk, and auto-triages each denial via the MCP Server.
Sentinel-MCP is an AI agent that bridges Splunk data with Slack and HR systems to turn complex forensic logs into a one-click organizational workflow, eliminating operational silos in seconds.
An autonomous purple-team for Splunk: it finds the detection blind spots your SOC can't see, proves them on live data, then writes & deploys the SPL+Sigma fix. Find, prove, fix, verify.
Splunk-native pre-action gate for AI agents. Five deterministic stages plus advisory Foundation-Sec reasoning. KO-graph blast radius, ES 8 Findings approval, NIST/OWASP/PCI/HIPAA/SOX/ISO 42001 mapped.
AgentReady scores how well AI agents can use a Splunk app via the MCP Server, auto-fixes the metadata (App Inspect–gated), and proves it: F→A+, +59.9 points, 12 of 13 agent tasks.
Turn live Splunk data into an evidence-backed incident timeline, AI‑ranked root causes, and an auto‑drafted postmortem — agentic incident command that cuts triage from an hour to seconds.
A 4-agent autonomous security operations system built specifically for hospital IT infrastructure.
Provable correctness turns noise into signal: agentic observability on Splunk, starting with oversell-proof flash drops.
An AI SOC copilot that walks a junior analyst from Splunk alert to verdict in plain English - querying read-only, gated on human sign-off, logging every move it makes
Turn any repository into a fully monitored and self-investigating system in minutes.
Dashboards show symptoms. Chronoscope walks backward through Splunk via MCP, building a cited causal chain—and surfaces the highest-leverage intervention point in under 2 minutes.
AI-powered autonomous security agent that monitors Splunk logs 24/7, detects threats using GPT-4/Claude, and automatically blocks attacks in seconds—before damage occurs.
Agentic SOAR platform built on Splunk MCP, one command to deploy.
Stop reacting to fraud. FraudIntel is a proactive AI agent that autonomously investigates threats, connects the dots across your data, and executes real-time countermeasures.
The autonomous SOC analyst for Splunk: it writes its own SPL via the MCP Server, maps MITRE ATT&CK, and contains threats with every verdict grounded in real events.
AI-driven Splunk observability that diagnoses hidden data pipeline breaks by tracing schema, lineage, and quality signals so teams find the root cause fast, even when ETL jobs still report success.
Consolve connects people with trusted service providers around them, jobs, and opportunities through an AI-powered platform designed to bridge Africa's digital and service access gap.
TITAN HELIX turns Splunk into a super-agent — six AI agents reason through MCP to find the silent root cause and blast radius in seconds, citing every SPL. Not alerts; AIOps that shows its work.
A self-writing, self-tuning Splunk detection agent.
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