🎯Skills29
JoySafeter is an enterprise-grade AI security agent orchestration platform with a visual no-code agent builder, 200+ pre-integrated security tools (Nmap, Nuclei, Trivy), MCP protocol support, and full execution tracing for security operations.
A mobile app penetration testing skill from JoySafeter, a framework for building production-grade AI security agents in minutes.
An enterprise-grade AI security agent orchestration platform that unifies 200+ security tools (Nmap, Nuclei, Trivy, etc.) with a visual no-code agent builder, enabling rapid creation of production-grade security agents.
JoySafeter is an AI-native platform for building, orchestrating, and running security agents at scale. It replaces manual security workflows with autonomous multi-agent collaboration, supporting APK vulnerability analysis, dynamic penetration testing, and integration with 200+ tools via MCP Protocol.
Penetration testing and CTF binary analysis skill from JoySafeter, an AI-native platform for building and orchestrating security agents at scale. Powered by LangGraph and FastAPI, it enables production-grade security automation with MCP protocol support.
An AI-native platform for building, orchestrating, and running security agents at scale. Supports autonomous APK vulnerability detection, dynamic penetration testing with adaptive agents, and integrates 200+ tools via MCP Protocol.
Part of JoySafeter, an AI-native platform for building, orchestrating, and running security agents at scale. Supports autonomous APK vulnerability analysis, dynamic penetration testing with adaptive DeepAgents, and 200+ security tools via MCP Protocol for AI-driven security operations (AISecOps).
An enterprise-grade intelligent agent orchestration platform for building production-ready AI security agents, featuring LangGraph-based workflows, FastAPI backend, and MCP protocol support for security capabilities.
Part of JoySafeter, an AI-native platform for building and running security agents at scale. Uses multi-agent collaboration with LangGraph and 200+ tools via MCP Protocol to automate security operations like APK vulnerability detection and penetration testing.
An enterprise-grade intelligent agent orchestration platform for building AI security agents, featuring a visual no-code builder, 200+ pre-integrated security tools (Nmap, Nuclei, Trivy), and multi-tenancy support.
Part of JoySafeter, an AI-native platform for building and orchestrating security agents at scale. Features autonomous APK vulnerability analysis, dynamic penetration testing with adaptive DeepAgents, and integrated security tool management via MCP protocol.
JoySafeter is an AI-native platform for building, orchestrating, and running security agents at scale, enabling production-grade security automation in minutes. Built with LangGraph, FastAPI, and MCP Protocol, it supports Python 3.12+ and Node.js 20+.
Part of JoySafeter, an AI-native platform for building, orchestrating, and running security agents at scale, supporting autonomous APK vulnerability analysis, dynamic penetration testing with DeepAgents, and multi-tool integration through MCP protocol.
An AI-native platform for building, orchestrating, and running security agents at scale. Uses LangGraph-based DeepAgents for dynamic penetration testing, APK vulnerability analysis, and security automation that adapts to findings in real time.
Part of JoySafeter, an AI-native security platform that builds and orchestrates autonomous security agents for penetration testing, vulnerability analysis, and forensics at scale.
An AI-native platform for building, orchestrating, and running security agents at scale. Supports autonomous APK vulnerability analysis, dynamic penetration testing with adaptive DeepAgents, and integrates via MCP Protocol with LangGraph and FastAPI.
JoySafeter is an AI-native platform for building and orchestrating security agents at scale, featuring autonomous APK vulnerability detection, dynamic penetration testing with adaptive DeepAgents, and 200+ tool integrations via MCP Protocol.
Part of JoySafeter, an AI-native platform for building, orchestrating, and running security agents at scale, enabling production-grade security automation from concept to deployment.
JoySafeter is an AI-native platform for building, orchestrating, and running security agents at scale. It supports autonomous APK vulnerability analysis, adaptive penetration testing with DeepAgents, and seamless tool integration via the MCP protocol.
An AI-native platform for building, orchestrating, and running security agents at scale, using LangGraph-based DeepAgents for autonomous penetration testing, APK vulnerability analysis, and real-time adaptive security automation.
An AI-native platform for building, orchestrating, and running security agents at scale. It replaces brittle scripts and manual review with autonomous agents for APK vulnerability analysis, penetration testing, and tool integration using LangGraph and FastAPI.
JoySafeter is an AI-native platform for building, orchestrating, and running security agents at scale, enabling production-grade security automation in minutes rather than months.
An AI-native platform for building, orchestrating, and running security agents at scale. Combines multi-agent collaboration with 200+ tools via MCP Protocol for autonomous security operations including APK vulnerability detection, penetration testing, and structured OWASP report generation.
An AI-native platform for building, orchestrating, and running security agents at scale. Provides autonomous APK vulnerability analysis, dynamic penetration testing with DeepAgents, and MCP protocol integration for security automation.
JoySafeter is an AI-native platform for building, orchestrating, and running security agents at scale, supporting autonomous vulnerability analysis, dynamic penetration testing, and 200+ tools via MCP Protocol.
Part of JoySafeter, an AI-native platform for building and orchestrating security agents at scale. It supports autonomous APK vulnerability analysis, dynamic penetration testing with adaptive agents, and integration with 200+ tools via MCP Protocol.
A skill from JoySafeter, an AI-native platform for building and orchestrating security agents at scale. It supports autonomous APK vulnerability detection, dynamic penetration testing with DeepAgents, and 200+ tool integrations via MCP Protocol.
An AI-native platform for building, orchestrating, and running security agents at scale. Features autonomous APK vulnerability detection, dynamic penetration testing with DeepAgents, 200+ tools via MCP Protocol, and multi-agent collaboration for AI-driven Security Operations (AISecOps).
A skill from JoySafeter, an AI-native platform for building security agents at scale. It enables autonomous vulnerability analysis, dynamic penetration testing with adaptive DeepAgents, and integration with 200+ security tools via MCP Protocol.