Daily. Weekly. Monthly.
Launch tests on demand to continuously identify security issues in real time.
The world's first multi-agent
AI pentest platform
Automated penetration testing with multiple AI agents
Bring commercial and open-source AI red teams together.
Launch once. Run multiple red teams in parallel.
Continuously identify security weaknesses in real time, from an attacker’s perspective.
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- Integrated AI red team agents
- 4+
- Combined GitHub stars
- 10,000+
- Security tool integrations
- 100+
- Continuous security validation
- 24/7
RedAgents brings you multiple AI red teams.
Working in real time, 24/7.
Multiple agents in parallel
Engage multiple leading AI red teams in one task to cross-check findings from different perspectives.
Findings consolidated in real time
Automatically deduplicate findings, assign severity levels, and generate a unified report.
An open, evolving ecosystem
Stay at the forefront of attack techniques as leading red team products join the platform.
One platform. Leading AI red teams.
Each integrated agent brings a distinct approach, tested in real attack and defense scenarios.
ARTEX Pro EnterpriseA leading AI penetration testing agent
ARTEX Pro Enterprise strengthens operational safeguards and applies an engineering-led approach to turn autonomous agents into a complete red team system. It can autonomously exploit weaknesses and discover vulnerabilities while providing control throughout execution, reliable operation, and traceable results.
Cyber (Yanji)The industry’s first AI-native automated penetration testing system
Cyber (Yanji) goes beyond combining large language models with tool orchestration. It models penetration testing as a directed search through an unknown state space, linking intent with observed facts to guide test paths. Multiple workers explore in parallel through a shared blackboard and generate tasks dynamically, without predefined roles or fixed workflows.
YanxunA cybersecurity agent specializing in extended penetration testing engagements
Developed by Changsha Yanzhi Technology, Yanxun is built on research from the Peking University Changsha Institute for Computing and Digital Economy. It draws on experience from multiple wins in national cybersecurity competitions, including the Qiangwang Cup, and successful real-world engagements, with particular strengths in extended penetration testing.
CyberStrikeAIOne of the world’s most widely used AI penetration testing tools
CyberStrikeAI is an open-source, AI-native autonomous penetration testing tool that natively integrates the Model Context Protocol (MCP) and more than 100 security tools. It earned over 7,800 GitHub stars within months of launch. CyberStrikeAI Enterprise translates security testing requirements into controlled, traceable automated tasks, enabling efficient coordination of AI-driven penetration testing and red team exercises within an explicitly authorized scope.
Figures reflect public information as of October 2026. More agents are being integrated.
Launch a red team engagement as easily as a scan
01Define scope and authorization
Define the test scope and authorized boundaries, then add your organization’s assets and attack surface intelligence.
02Select red team agents
Choose individual agents or the full lineup. Compare independent findings, much as VirusTotal aggregates results from multiple scanners.
03Run attacks in parallel
Multiple AI red teams run attacks concurrently, each exploring attack paths through its own technical approach.
04Consolidate findings and retest
Automatically deduplicate findings and assign severity levels in one report. Retest with one click after remediation to verify the fixes.
Beyond a single agent.
Continuously integrating the best.
AI-driven attack techniques never stand still. We continuously evaluate and integrate leading AI red team products worldwide, from emerging open-source projects to established commercial solutions. Stay at the forefront of attack techniques, without being tied to a single vendor’s roadmap.
- 01
Technical evaluation
Assess competition results, field experience, and community impact.
- 02
Sandbox integration
Use standardized agent interfaces for secure integration in an isolated environment.
- 03
Adversarial validation
Compare attack coverage with the agents already integrated.
- 04
Production release
Add agents to the lineup and make them available for users to schedule.
Put leading AI red teams to work for you today
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