AIPentest/CyberStrikeAI
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 19 days ago, with 18 contributors on GitHub.
Peaked at #12 in the weekly ranking the week of Mar 8, its best in the past year.
Use Cases & Benefits
- Provides an AI-native cybersecurity testing platform integrating 100+ tools with AI orchestration for automated vulnerability discovery and attack-chain analysis.
- Delivers end-to-end automation from conversational commands to actionable security insights with role-based testing and comprehensive lifecycle management.
- Use for automating penetration testing workflows with predefined security roles and AI-driven tool orchestration to improve testing efficiency.
- Use for managing and visualizing complex attack chains and vulnerabilities in a collaborative, auditable environment for security teams.
- Use for extending security testing capabilities by creating custom roles, skills, and tools with YAML-based configurations and AI skill integration.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities. Through native MCP protocol and AI agents, it enables end-to-end automation from conversational commands to vulnerability discovery, attack-chain analysis, knowledge retrieval, and result visualization—delivering an auditable, traceable, and collaborative testing environment for security teams.
The dashboard provides a comprehensive overview of system runtime status, security vulnerabilities, tool usage, and knowledge base, helping users quickly understand the platform's core features and current state.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+2,634 stars over 82 days across 14 snapshot days; best day +74 on Sep 2.
Forks
1.8K+927
Open issues
77+32
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| AIPentest/CyberStrikeAI | 8.4K | — | 54 | 19 days ago |
| Category median | 115.8K | +4.0K | 75 | — |
Discover Repositories
Search across tracked repositories by name or description