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Splunk-backed release risk check for a GitHub projects
Evidence-locked agentic triage for Splunk security data: the agent orchestrates, a deterministic evidence layer decides — log text is data to be flagged, never instructions to follow.
Splunk-powered incident response workbench that turns Kubernetes security logs into AI-assisted evidence review and user-run containment actions.
CrowdShield AI is a real-time EDR pipeline. It ingests host logs, correlates events using sliding windows and local rules, scores threat chains with LLMs, and alerts Kafka for automated response.
An autonomous detection engineer for Splunk: five AI agents turn a threat into a deployed, tuned detection in minutes.
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 multi-agent AI tool that refines Splunk logs pre-ingestion. It identifies noise, auto-generates nullQueue filters, and quantifies your storage and license savings.
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.
A Splunk app that runs real phishing investigations on every alert, shows its work, and tells you which ones actually executed on an endpoint.
LogWise — AI-powered incident analysis tool that transforms logs into actionable insights using Splunk MCP. Root cause, timeline, resolution prediction & PDF reports in seconds.
TRIDENT-AI turns hours of incident chaos into minutes of clarity. Using Splunk MCP, our swarm investigates multi-domain issues for one-click human approval. The agent investigates, you decide.
Your Splunk sees 6% of known attacks. ARIA finds the other 94% and writes the detection rules to close them
From alert to executive report in minutes: SOC Swarm automates end-to-end security investigations using native Splunk MCP integration.
RedForesight: The Splunk agent that predicts, not reacts. Uses MITRE ATT&CK, live telemetry, and episodic memory to rank an attacker’s next moves from partial signals.
Autonomously closes MITRE ATT&CK detection coverage gaps, analyzing live Splunk environments, generating validated SPL detections, routing human review, deploying content, and monitoring schema drift.
Splunk-grounded AI incident commander with human-approved remediation.
Agentic ops Incident Copilot: real SPL-subset engine, self-correcting investigation, evidence ledger + replayable trace. Synthetic incident, recall/precision=1.0.
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.
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.
Four rival AI models — including Splunk's own Foundation-Sec-8B — debate your compliance evidence over real Splunk data, then seal a board-ready verdict in a tamper-evident chain anyone can verify.
Autonomous, evidence-backed SOC triage on the official Splunk MCP Server.
AI that doesn’t just detect cyber-attacks, it understands them and responds instantly, turning raw security data into autonomous, real-time defense!
HealthTwin Guardian AI – Making quality healthcare accessible through AI-powered medical insights, medicine recognition, multilingual assistance, and preventive care.
HealthTwin Guardian AI – An AI-powered digital health guardian that detects medication risks, analyzes health reports, and provides real-time personalized healthcare assistance.
