RedAgents.Ai
Red Teams on Demand

The World's First Multi-Agent
AI Pentest Platform

RedAgents.Ai aggregates red team AI agents, with equal weight on commercial and open source. Launch once and multiple red teams attack concurrently. Enterprises find their security weak points from the attacker's perspective, continuously and in real time.

Request a Trial Visit RedAgents.Ai
4+
AI red team agents worldwide
10,000+
Cumulative GitHub stars
100+
Integrated security tools
7×24
Continuous attack validation
The Problem

Attackers evolve every day. How often do you validate your defenses?

AI attack and defense iterate by the week.

A defensive or offensive technique used to pay off for one to two years. In the AI era, new techniques and new playbooks can refresh every two weeks. No single product can keep pace with attack technology forever.

Don't bet on a single red team.

Enterprises running attack-and-defense exercises never hire just one red team, because each agent has its own technical route and attack perspective. Only cross-validation across multiple agents approaches the full picture of a real attacker.

Testing should not happen once a year.

Under the traditional model, an enterprise can bring in only two to four attack teams for one test a year. Vulnerabilities appear every day, so security validation should run continuously: daily, weekly and monthly.
Core Value

RedAgents.Ai gives you a 24/7 online “real-time multi-red-team squad”

Daily / Weekly / Monthly

Launch on demand and find security issues continuously, in real time

Concurrent multi-agent AI red teams

One task mobilizes multiple separate AI red teams, each with its own attack route, for cross-validation from several angles

Penetration results aggregated in real time

Findings from every agent are deduplicated and graded automatically, and the report is generated instantly

An open ecosystem that keeps evolving

Outstanding red team products from around the world keep joining, in step with the technology frontier
Red Teams on Demand

One platform mobilizes top AI red teams from across the industry

Every AI red team connected to RedAgents.Ai has been tested in real attack-and-defense scenarios and represents a distinct attack technique route.

 
Commercial Closed-Source Edition
ARTEX

ARTEX Pro Enterprise Edition

The AI penetration agent drawing the most attention right now

ARTEX Pro Enterprise Edition focuses on stronger security controls. It applies an engineering approach to build the autonomous agent into a complete red team system that breaks in and finds vulnerabilities on its own, with full-process control, stable operation and traceable results.

Multi-agent collaboration Multi-model access Baidu Security Attack-and-Defense Challenge champion
 
Commercial Edition
CYBER

Cyber(Yanji)

The industry's first AI-native automated penetration system

The industry's first AI-native automated penetration system, developed by the chainreactors team. Going beyond the “large model + tool orchestration” approach, Cyber(Yanji) models penetration testing as a directed search in an unknown state space. An “intent-fact” reasoning chain drives the test path, and multiple Workers explore in parallel on a shared blackboard and generate tasks dynamically, with no preset roles or fixed workflow. At the second Tencent Cloud Hackathon (TCH) Intelligent Penetration Challenge, Cyber(Yanji) placed third overall and first among individuals, and was the only participant to solve all 54 challenges.

Intent-fact reasoning chain 2,900+ GitHub stars 385+ GitHub forks
 
Commercial Edition
Yanxun

Yanxun

Cyber attack-and-defense agent, long-penetration scenario specialist

An intelligent penetration testing system launched by Changsha Yanzhi Technology Co., Ltd. on the research foundation of the Peking University Changsha Institute of Computing and Digital Economy. It has repeatedly won attack-and-defense competitions such as the Qiangwang Cup national cybersecurity challenge, has delivered results in many real-world scenarios, and holds a distinct advantage in long-penetration scenarios.

Long-cycle penetration Backed by a research institute Multiple national attack-and-defense competition championships
 
Commercial Closed-Source Edition
CyberStrikeAI

CyberStrikeAI (Enterprise Edition)

One of the most widely used AI penetration tools in the world

An open-source, AI-native, autonomous penetration testing tool built in Go, with native Model Context Protocol (MCP) integration and 100+ security tools. Within months of launch it earned 7,800+ stars on GitHub and 3,500+ public deployments, making it one of the most widely used AI penetration tools in the world today.
CyberStrikeAI Enterprise Edition turns security testing requirements into controlled, traceable automated tasks, efficiently orchestrating AI-powered penetration testing and red team exercises within clearly defined, authorized scopes. CyberStrikeAI was acquired by ThreatBook in September 2026.

7,800+ GitHub stars 3,500+ public deployments 100+ security tools

Note: Data comes from public information, current through October 2026. More agents are being connected.
How It Works

Launch a red team penetration as easily as launching a scan

STEP 01

Define targets and authorization

Set the testing scope and authorization boundary, and load enterprise asset and attack-surface intelligence.

STEP 02

Select red teams

Call on the red teams you need for each test, the way you pick which scanners inspect a file.

STEP 03

Concurrent multi-agent attack

Multiple AI red teams attack in parallel, each exploring attack paths along its own technical route.

STEP 04

Aggregated report and retest

Findings from all agents are deduplicated and graded automatically into one report; after fixes, a one-click retest closes the loop.
Agent Ecosystem

Always embrace the best agents

AI attack techniques will keep evolving. We will keep assessing and connecting outstanding AI red team products from around the world, from open-source rising stars to established commercial products, so enterprises keep pace with attack technology and stay free of any single vendor's roadmap.

 
Stage 01

Technical assessment

Multi-dimensional evaluation on attack-and-defense competition results, real-world cases and community influence

 
Stage 02

Sandbox integration

Standardized agent interfaces, secure integration in an isolated environment

 
Stage 03

Adversarial validation

Attack coverage cross-validated against the red teams already on the platform

 
Stage 04

Official launch

The red team joins the platform and is opened for on-demand scheduling by users

Put the top AI red teams to work for you, starting today

Request a Trial Visit RedAgents.Ai