CyberStrikeAI

Why we included this project

CyberStrikeAI gives penetration testers, red teams, and security engineers a single console where an AI agent runs a pentest as an auditable workflow rather than a black box. Planning, execution, human approval gates, evidence capture, and replay all live in the same workspace, so you can watch the agent move through an attack chain and step in when needed. The Go-based project ties together agent orchestration, MCP-native tools, and RAG-backed knowledge, which makes it handy for automating the repetitive parts of recon and exploitation without losing human oversight. The dashboard and WebShell/C2 features deserve caution: enable them only against systems you own or have written permission to test. For teams already at home with pentest tooling who want structured, governed AI assistance, this is a concrete look at how that workflow actually runs.