#Ai-security-tool

Showing 12 of 12 repositories tagged #ai-security-tool, ranked by stars

vxcontrol
vxcontrol
pentagi

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Score
100
★ 18.5k ⑂ 2.5k +414/day
Go
0x4m4
0x4m4
hexstrike-ai

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

Score
0
★ 10.2k ⑂ 2.1k +68/day
Python
Ed1s0nZ
Ed1s0nZ
CyberStrikeAI

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.

Score
0
★ 5.0k ⑂ 813 +30/day
Go
nolabs-ai
nolabs-ai
nono

Sandbox any AI agent in seconds - zero setup, zero latency.

Score
0
★ 3.0k ⑂ 206 +11/day
Rust
GH05TCREW
GH05TCREW
pentestagent

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.

Score
100
★ 2.8k ⑂ 555 +31/day
Python
SanMuzZzZz
SanMuzZzZz
LuaN1aoAgent

LuaN1aoAgent is a cognitive-driven AI hacker. It is a fully autonomous AI penetration testing agent, using dual-graph reasoning.

Score
86
★ 1.1k ⑂ 168 +15/day
Python
ASCIT31
ASCIT31
Dark-Moon

Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and Kubernetes. Uses agentic reasoning, real exploit execution and attack path analysis to deliver proof-based vulnerabilities.

Score
71
★ 703 ⑂ 124 +48/day
Python
backbay-labs
backbay-labs
clawdstrike

AI EDR for developer workstations and autonomous agent fleets. Build Swarm Detection & Response platforms with Clawdstrike.

Score
57
★ 283 ⑂ 34
TypeScript
cosai-oasis
cosai-oasis
secure-ai-tooling

The CoSAI Risk Map is a framework for identifying, analyzing, and mitigating security risks in Artificial Intelligence systems. As traditional software security practices are not always sufficient for AI, this project provides a shared understanding and a common language for addressing the unique security challenges of the AI development lifecycle.

Score
43
★ 92 ⑂ 35
Python
ArmorerLabs
ArmorerLabs
Armorer-Guard

Fast local Rust scanner for AI-agent prompt injection, credential leaks, exfiltration, and risky tool calls

Score
29
★ 40 ⑂ 10
Rust
votal-ai-hq
votal-ai-hq
wb-red-team

Whitebox & Blackbox red-teaming framework for LLMs & Agentic AI apps. It analyzes your app's source code to discover tools, roles, and guardrails, then generates new attacks chains across several categories and adapts over multiple multi turn rounds to find vulnerabilities

Score
14
★ 21 ⑂ 12
Python
george1-adel
george1-adel
ReconFusionAi

Next-Gen Secret Scanner powered by Local AI (Ollama). Filters false positives by understanding code context.

Score
0
★ 17 ⑂ 1
Python
Related Topics
#ai-agents#penetration-testing#llm#ai-security#ai#cybersecurity#security-automation#mcp#security#autonomous-agents#penetration-testing-tools#security-tools

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