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Shieldops
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Shieldops

An autonomous multi-agent Security Operations Center built on the Archestra MCP platform, achieving alert classification, threat investigation, automated response, and compliance report generation through real MCP tool calls.
SecurityMonitoring#Security Operations#Threat Response#Automation#Compliance Report.TypeScript
2 points
5.2K
Open Site

Overview

Content Details

Alternatives

What is ShieldOps?

ShieldOps is a modern Security Operations Center solution that automates the processing of security events through the collaborative work of five specialized artificial intelligence agents. The system can analyze threats in real-time, execute response measures, and maintain a complete chain of evidence, making it particularly suitable for organizations that need to respond quickly to security events.

How to use ShieldOps?

ShieldOps provides an intuitive Web dashboard and API interfaces. You can monitor security events through the dashboard or send security alerts via Webhook or API. The system will automatically assign tasks to the corresponding agents for processing, and you can view the processing progress and results in real-time on the dashboard.

Use Cases

ShieldOps is particularly suitable for the following scenarios: 1. Small and medium-sized enterprises that need automated security monitoring 2. Security teams that require 7x24 event response capabilities 3. Industries with strict compliance requirements that need a complete audit trail 4. Development teams that need to integrate security into the DevOps process 5. Educational demonstrations and proof-of-concept projects

Main Features

Real-time MCP Execution
The system processes security events through real Model Context Protocol tool calls rather than simulated UI operations, ensuring that all operations are traceable and verifiable.
Five-Agent Collaboration System
Sentinel is responsible for preliminary analysis, Sherlock conducts in-depth investigations, Responder implements containment, Chronicler generates reports, and Overseer coordinates the entire process.
Tamper-Proof Evidence Chain
The processing process of all security events will be recorded and a hash value will be generated to ensure the integrity and non-tamperability of the evidence, meeting the requirements of compliance audits.
Production-Grade Technology Stack
Use PostgreSQL to store data, Prometheus to collect metrics, Grafana to display monitoring data, and Terraform to manage infrastructure, ensuring the system is stable and reliable.
Zero-Cost Demonstration Path
Supports demonstrations using simulated data without configuring real API keys. It also supports connecting to real threat intelligence sources for a full-feature experience.
Advantages
High degree of automation: Reduces manual intervention and improves response speed
Complete audit trail: Meets compliance requirements and facilitates post-event analysis
Modular design: Can be extended or replaced according to needs
User-friendly: Provides an intuitive Web interface, reducing the usage threshold
Open source and free: Based on the MIT license, it can be freely used and modified
Limitations
Requires certain technical knowledge for deployment and configuration
Real threat intelligence queries require an API key (optional)
Mainly for demonstrations and proof-of-concepts; additional customization is required for production environments
Relies on an external MCP server, requiring a stable network connection

How to Use

Environment Preparation
Ensure that Docker and Docker Compose are installed on the system, and clone the project code repository to the local machine.
Configure Environment Variables
Copy the environment variable template file and modify the configuration as needed (such as API keys).
Start the Infrastructure
Use Docker Compose to start all necessary services, including the database, monitoring, and Web interface.
Start the Dashboard
Enter the dashboard directory, install the dependencies, and start the Next.js application.
Access the System
Open a browser and access different service ports to start using ShieldOps.

Usage Examples

Suspicious Login Detection
When the system detects a user logging in from an uncommon geographical location, it automatically triggers an investigation process.
Malicious File Detection
When the antivirus software detects a suspicious file, it automatically analyzes the file hash value and implements containment measures.
Vulnerability Scan Results
When the vulnerability scanner discovers a high-risk vulnerability, it automatically assesses the severity of the vulnerability and formulates a repair plan.

Frequently Asked Questions

Is ShieldOps free?
Do I need programming knowledge to use it?
Which threat intelligence sources does the system support?
Where is the data stored?
How to integrate it into an existing system?
How is the system performance?

Related Resources

GitHub Repository
Source code and documentation for ShieldOps
Archestra Platform
The basic framework of the MCP platform
Model Context Protocol
Official specification of the MCP protocol
Docker Documentation
Containerized deployment guide
Demonstration Video
Demonstration video of ShieldOps features

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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