Compatible with every major AI agent and IDE
Create agent on Wazuh (SIEM)
Enroll a new Wazuh agent
Create security role on Wazuh (SIEM)
Create a new Wazuh security role
Delete agents on Wazuh (SIEM)
Use WQL to specify which agents to delete. Remove Wazuh agents
Get logtest on Wazuh (SIEM)
Test rules and decoders against logs
Get manager logs on Wazuh (SIEM)
Retrieve Wazuh manager logs
Get manager status on Wazuh (SIEM)
Get Wazuh manager daemon status
Get mitre on Wazuh (SIEM)
Supports WQL filtering. Get MITRE ATT&CK results
Get rootcheck on Wazuh (SIEM)
Supports WQL filtering. Get Rootcheck results
Get sca on Wazuh (SIEM)
Supports WQL filtering. Get Security Configuration Assessment (SCA) results
Get syscheck on Wazuh (SIEM)
Supports WQL filtering. Get File Integrity Monitoring (Syscheck) results
Get syscollector on Wazuh (SIEM)
Supports WQL filtering. Get Syscollector inventory
List agents on Wazuh (SIEM)
Supports WQL filtering. List all Wazuh agents
List cluster nodes on Wazuh (SIEM)
List Wazuh cluster nodes
List decoders on Wazuh (SIEM)
Supports WQL filtering. List loaded Wazuh decoders
List rules on Wazuh (SIEM)
Supports WQL filtering. List loaded Wazuh rules
List security users on Wazuh (SIEM)
List Wazuh API users
Restart agents on Wazuh (SIEM)
Restart Wazuh agents
Restart cluster on Wazuh (SIEM)
Restart the Wazuh cluster
Update rule file on Wazuh (SIEM)
Update a Wazuh rule file
Update security config on Wazuh (SIEM)
Update Wazuh security configuration
Upgrade agents on Wazuh (SIEM)
Upgrade Wazuh agents
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How do I check for unauthorized file changes on my servers?
You can use the get_syscheck tool. It retrieves File Integrity Monitoring (FIM) results, allowing you to audit file modifications, deletions, or additions across your agents.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Wazuh (SIEM)?
Integrate Wazuh (SIEM) to provide your custom AI agents with direct read and write access to the capabilities listed below.
Autonomous siem via AI
The Wazuh (SIEM) MCP manages API routing for siem. This enables AI agents like Claude Code to execute structured fort knox queries.
Cursor Copilot for threat detection
Integrate the Wazuh (SIEM) server to handle threat detection requests natively. It provides the schemas required for ChatGPT and Cursor to manage fort knox data.
Wazuh (SIEM). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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