Xmrrior Xmaze AI

Next-Gen Intelligent Code Audit Platform Driven by AI Multi-engine

Add a small xmirror
Answer your questions

Welcome to Xmaze AI, the world's first AI to develop secure code audits, which provides an AI development security assistant that is as smart and easy to use as code security experts by incorporating state-of-the-art LLM technology. No matter the size of your project, Xmaze AI can provide you with accurate and efficient code audit services to help you quickly improve your code security governance capabilities.

Comprehensively identify security flaws, from traditional vulnerabilities to logical vulnerabilities

Support 30+ mainstream development languages, detection speed up to 1 million lines/hour, false alarm rate <5%

Automatic reduction of false positives reduces auditors' audit defect time by 90%

Intelligently provide fixes and suggestions to reduce developer time to fix code by at least 80%

After the repair, the code accuracy can reach at least 90%.

Integrate exclusive digital supply chain security intelligence to monitor global open-source poisoning components in real time

< 5%

alse positive rate

> 90%

accuracy

> 80%

efficiency increase

24h

real-time monitoring

An Inch of Time is a Foot of Gold

Every 1,000 lines of code generates at least one security issue, and each potential high-risk security vulnerability may cause immeasurable losses to enterprises and organizations.
The national institute of science and technology points out that in the software development workflow, the cost of detecting and repairing vulnerabilities will increase exponentially over time, and the cost of repairing vulnerabilities in the product release phase is 6 times that of the coding phase.

Scanning at the Beginning of Coding

SAST technology can timely discover and repair software vulnerabilities and issues during the software coding stage. It analyzes the syntax, structure, process and interface of the application source code or binary/bytecode files during the program coding stage to discover security issues and quality issues in the program code. In a sense, SAST is an analysis technology that truly discovers code issues early in the r&d life cycle. It is the first step in shifting security left and a key step in reducing repair costs.

AI Intelligent Code Fix

Supports providing code repair suggestions through AI models. The AI repair technology involves modularizing the user's code and using advanced vectorization techniques to build a vector index of the code and a user code vector library.

Leveraging Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) orchestration technologies, the AI model offers repair suggestions for vulnerable code and performs automatic repairs.

AI Code Fix significantly enhances development efficiency and reduces the complexity of manual repairs. Especially when dealing with large-scale codebases, it can quickly identify issues and efficiently generate repair suggestions.

Reduce code-fixing time by 80% and achieve 90%+ accuracy after fixes.

AI Vulnerability Verification

Supports providing issue audit suggestions to users through AI models. By collecting data from code repositories, historical issue data, false positive cases, and correct examples from a knowledge base, and then preprocessing and labeling this data, the control flow and data flow information of the code (such as function call relationships, dependency relationships, library function documentation, etc.) are used to build a knowledge graph. This knowledge graph is integrated into the model, enabling it to achieve the capabilities of a code security audit expert. The model can comprehensively understand the context of the code and the relationships between functions, providing accurate detection results and audit reasons.

This capability helps software development teams quickly and accurately obtain detection results and audit reasons comparable to those provided by security experts during the code audit process. Especially when dealing with large-scale codebases, the AI-powered false positive detection feature of Xmaze AI significantly reduces the workload for security auditors, thereby improving review efficiency.

Reduce audit time by 90%.

Scanning Every Corner

The powerful AI multi-mode engine provides you with 360-degree comprehensive detection capabilities without blind spots:
Supports 30+ development languages, covering mainstream language versions and related features, is compatible with language extensions and dialects, and supports multi-language mixed detection;
6000+ typical issue detectors, covering three categories of security issues, quality issues, and coding specifications, and supports code-level api security scanning;
Built-in domestic and foreign commonly used standard sets to meet the compliance detection needs of different industry scenarios such as finance, automobiles, military industry, and scientific research institutes;
Compatible with trusted innovation, supports containerized high-availability deployment;
Supports various agile integration tools, seamlessly integrated into the development team's workflow, thereby realizing the implementation of the DevSecOps development model.

Development Language

Integrated Docking

Framework and third-party libraries

TestingCriteria

Detecting Issues

Fast, Accurate, and User-Friendly

Based on AI large language model intelligent cluster analysis,the detection results are accurate,and the false positive rate of each language is not more than 5%.
Provide fast detection capability,detection speed up to millions of lines/hour;
Supports inter-process taint tracking analysis and provides flexible and custom taint configuration;
Supports compiled detection and non-compiled detection. Non-compiled detection is suitable for daily rapid detection such as snippet code, and compiled detection is suitable for high-standard precise detection scenarios.

< 15 %

False Positive Rate

< 6000 +

Issue type

100 Millions of Lines/hour

Detection Speed

Integrating SCA , Supply Chain Security Censorship

Integrates the SCA dual AI-Driven engine for simultaneous detection and supports component vulnerability accessibility analysis. By evaluating the security of third-party components, reviewing code compliance and best practices, it helps ensure the security and credibility of the entire digital supply chain, provides supply chain security review, and supports supply chain security capabilities.
Linked with XSBOM supply chain security intelligence and combined with the enterprise software SBOM list, it can accurately and personalizedly push vulnerability risks, poisoning incidents, license risks, supply interruption risks and other security event information to enterprise security managers in the first place, helping enterprises and users to respond to digital supply chain security risks in a timely manner.

SCA Software Component Analysis

Open Source Component Asset Analysis

Component Vulnerability Risk Correlation Analysis

License Risk Analysis

Xmaze SAST AI Multi-mode engine

XSBOM Supply Chain Intelligence

Digital Supply Chain Poisoning Incident
Digital Supply Chain Open Source Component Vulnerability Incident

Component Supply Outage Information

License Change Information
Copyright Change Information

Closed-Loop Process

Provides the whole process operation from detection to audit repair:
Including detailed issue introduction, sample code, and mitigation measure;
Supports operations such as inheritance of the results of the previous audit, automatic audit, and result comparison, and generates reports for detection results to provide auxiliary suggestions for subsequent code optimization.

Clients

The original, patented third-generation DevSecOps digital supply chain security management system, incorporating an "end-to-end digital supply chain security empowerment platform + agile security tool chain + supply chain threat intelligence services," Innovatively empowers users across various industries such as finance, connected vehicles, telecommunications, energy, government, smart manufacturing, and the broader Internet sector. This system builds a symbiotic and proactive defense framework that adapts to business elasticity, supports agile business delivery, and guides future architectural evolution, continuously safeguarding the security of china's digital supply chain.

Partners

Together with our partners, we are exploring a billion-dollar blue ocean market, jointly driving the implementation of DevSecOps digital supply chain security practices for enterprises, and fostering a symbiotic relationship between business growth and security.

Comments

Awards

China Top 50 Technology Companies
Forrester

SCA、SAST Evaluated Vendors
International Data Corporation

China DevSecOps Innovators
Gartner

SCA Evaluated Vendors
CDM Group

Next-Gen in Open-Source Security
Business Intelligence Group

BIG Innovation Award
Internet Security Conference

The Top 10 Innovators of the Year
China Academy of Information and Communications Technology

Software Supply Chain Famous Achievement Cases