CyberStrikeAI

CyberStrikeAI

CyberStrikeAI is an AI-native cybersecurity system that transforms intent into auditable security operations.

MCPDevOpen source
Type
MCP
Open source
Yes
GitHub Stars
★ 6.4k
Source
mcp-github

Overview

CyberStrikeAI is an AI-native cybersecurity system that converts intent into auditable security actions, transforms evidence into operational memory, and improves each subsequent operation based on prior outcomes. It integrates planning, execution, human oversight, evidence, and replay within a single auditable workspace. The system combines Eino-powered agents, MCP-native tools, RAG knowledge, visual workflows, and attack chain modeling and analysis, suitable for authorized security operations. Ideal for enterprises and teams requiring automated and intelligent security operations. Access methods include HTTP, stdio, and SSE protocols.

Capabilities

  • Natural language intent to auditable security operations
  • Supports single-agent and multi-agent modes
  • Visual workflow composition of agents and tools
  • Role-based security testing
  • 100+ security tool YAML recipes
  • Supports multiple MCP integration protocols

Use cases

Automated security testingVulnerability management and remediationSecurity operation auditingMulti-agent collaborative security operations

Setup

Requires: API KeyNode 环境
Please deploy using the quick start guide in the official documentation.

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

What transport protocols does CyberStrikeAI support?

Supports HTTP, stdio, and SSE protocols.

How do I get started with CyberStrikeAI?

Please refer to the quick start guide in the official documentation.

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