Proprietary Product · Wuren
Wuren
AI automated penetration testing platform
For enterprise security teams and compliance-focused practitioners, leveraging AI to assist the full penetration testing workflow within authorized scope, making testing faster, deeper and more scalable
Turning the experience of senior engineers into platform capabilitymaking authorized security testing more efficient and repeatableWuren consolidates methodology, toolchains and AI capability into a unified platform, automating tedious steps so security teams can focus on where judgment matters most
AI Capability
AI-powered, human-machine collaboration
Embed AI into the entire testing workflow — machines handle the tedious steps, engineers handle the judgment
See the attack surface in minutes
Automatically profile fingerprints and the attack surface of authorized assets, providing full context for subsequent testing
Automated test path planning
Reason over context to infer possible test paths and risk points, then give validation priorities
Automated validation, low false positives
Reproduce and validate suspected vulnerabilities automatically, outputting validation results and impact scope
One-click reporting
Generate reports automatically from templates, with validation records and fix recommendations for faster, more consistent delivery
Core Capabilities
Covering the full offense-defense chain
From web to intranet, from validation to delivery — one platform for the complete workflow
Multi-agent orchestration
Planning, scheduling, aggregation and validation roles work together, linking reconnaissance, exploitation, post-exploitation and documentation into a unified execution chain
Evidence-gated risk controls
Validate the authenticity and deliverability of aggregated results; unverified conclusions are kept as leads, preventing erroneous conclusions from driving high-risk actions
Cross-platform execution layer
Support Python, Java, Go, PHP and other scripts and tools, with unified parameter governance, result normalization and execution context management
Operable web console
Real-time log viewing, project control, manual intervention, library management, session management and result export, built for team use
RAG & self-learning
Combining knowledge bases, skill libraries and a self-learning pipeline to continuously accumulate methodology, skills and high-quality real-world experience
Closed-loop reporting
Integrating stage conclusions, risk grading, fix recommendations and exports into one loop, reducing manual work and data distortion
Use Cases
Adapts to a wide range of needs
Pre-release, ongoing and exercise scenarios — all quickly onboarded
Pre-release security testing
Automated regression before release to avoid shipping with vulnerabilities
Periodic security assessment
Regular inspections with continuous risk convergence tracking
Exercise support
Automated testing assistance for HW / red-blue exercises
Compliance & audit
Auditable test records for MLPS and cryptography assessment
System Architecture
An 8-layer engineering architecture for automated penetration and operable control
From the access layer to the operations layer, designed around execution, governance, data and asset accumulation
Access Layer
Web UI and API layer handling page access, interface calls and real-time log streaming
Orchestration Layer
Unified management of project lifecycle, async tasks, event broadcasting and stage progression
Agent Layer
Main, Coordinator, Recon, Exploit and other roles work together to support reconnaissance, exploitation, validation and reporting
Execution Layer
Covers CLI, session backend, cross-platform tool management and report generation modules
Knowledge Layer
Composed of RAG, knowledge bases, skill libraries and a self-learning pipeline for knowledge retrieval and capability expansion
Data Layer
Manages projects, events, exports and session state on structured storage, ensuring persistence and traceability
Asset Layer
Unified management of vulnerability, fingerprint, plugin, POC/EXP libraries and custom tool assets
Operations Layer
Handles startup governance, health checks, environment adaptation and background tasks for continuous operation
AI Connectivity
Multi-model access with vendor-level failover
Bring model scheduling and governance into the platform to reduce single-point decision risk
Multi-model access
Supports DeepSeek, MiniMax, GLM, Qwen, ChatGPT, Gemini, Claude, Ollama and Custom AI. It first tries the primary and fallback models within the current vendor, then automatically switches to the next configured vendor on failure
Governance model
A multi-role governance system of planning, scheduling, aggregation and validation advances tasks through reconnaissance, attack, persistence and documentation capabilities, reducing the risk of uncontrolled single-model, single-thread decisions
Learn more, contact us any time
We serve enterprise security teams, authorized security service providers and legally authorized organizations/individuals for authorized security testing and attack-defense exercises. Feel free to reach out for details or cooperation
Wuren is intended solely for authorized security testing and compliance checks. Please comply with applicable laws and regulations and never use it for unauthorized purposes