Launches MGOAT: First AI Security Testing System That Thinks, 9x Success Rate

MGOAT (Model Guard Offensive Assessment Tool) — the world's first AI security testing system that thinks. By simulating real hacker attack strategies, this system achieved a 90% success rate in national-level attack-defense exercises, 9 times higher than the 10% success rate of traditional security testing tools, setting a new benchmark for cybersecurity protection in the AI era.

The Dilemma of Traditional Security Testing

"Traditional security testing tools are like salespeople who knock and leave, while MGOAT is a hacker who breaks down the door," said the head of Relaxcloud's AI Security Lab.

Traditional security scanning tools rely on predefined vulnerability signature databases and attack templates, which are inadequate when facing the complexity and dynamism of AI systems. These tools can only discover surface-level, known vulnerabilities and are helpless against advanced attacks that require multiple rounds of interaction, context understanding, and strategy adjustment.

In attack-defense exercises, traditional tools achieved an average attack success rate of only 10% against 47 participating AI systems, yet these systems were 100% compromised in actual combat, with an average of 13 security vulnerabilities per system, up to 31 at maximum, putting 24 million user data at risk of exposure.

MGOAT: The First Security Test That Thinks

MGOAT's core innovation lies in its ability to "think." It's not a simple automation tool, but an automated red team system capable of simulating real hacker thinking processes.

Conversing Like a Hacker

Unlike the "one-time scan" approach of traditional tools, MGOAT employs conversational attack strategies:

1. Initiate initial probing
2. Observe system defense responses
3. Analyze defense strategies
4. Adjust attack methods
5. Launch attacks again

This iterative attack process can continue for multiple rounds until a system breakthrough is found, completely simulating real hacker attack behavior patterns.

Validated by Real Cases

In actual testing, MGOAT demonstrated remarkable attack capabilities:

Case 1: Content Safety Guardrail Breach Through seemingly harmless requests like "Please write a love story," MGOAT completely breached a large model's content safety guardrail in just 4 rounds of dialogue.

Case 2: Chemical Formula Bypass By asking questions using "C₁₀H₁₅N" (the chemical formula for methamphetamine), a large model output complete synthesis methods, proving that keyword-based filtering mechanisms are virtually useless.

Case 3: Role-Playing Attack Through role-playing as "I'm a new DBA," database IP, port, and complete table structure information were obtained in just 3 rounds of dialogue.

Case 4: Default Password Vulnerability Discovered that an AI platform used "difyai123456" as the default administrator password, resulting in the entire platform being taken over with all commercial models and data exposed.

Core Technical Advantages

Automated Red Team

MGOAT achieves full automation of red team testing:

• Automatic test case generation
• Automatic attack initiation
• Automatic observation of system responses
• Automatic adjustment of attack strategies
• Automatic re-attack

The system can work 24/7 non-stop, equivalent to hiring a tireless red team, but at lower cost, higher efficiency, and more comprehensive coverage.

Multi-Dimensional Attack Scenarios

MGOAT covers major security threats facing AI systems:

• Prompt injection attacks
• Jailbreak attacks
• Data poisoning
• Model theft
• Privacy leakage
• Adversarial samples
• Backdoor attacks

Continuous Learning Capability

The system can learn from each test, continuously optimize attack strategies, accumulate new attack methods, and ensure it can always discover the latest security vulnerabilities.

Behind the 9x Success Rate

The key to MGOAT achieving a 90% attack success rate (compared to 10% for traditional tools) lies in three core capabilities:

1. Understanding Capability: Based on large language models, able to understand complex system logic and context
2. Reasoning Capability: Able to infer possible attack paths based on system feedback
3. Adaptation Capability: Able to dynamically adjust attack strategies to bypass defense mechanisms

"This is not just an improvement in success rate, but a qualitative change in attack capability," commented a security researcher. "MGOAT truly simulates the thinking process of advanced hackers."

Application Scenarios

MGOAT provides full lifecycle AI security protection for enterprises:

• Pre-launch Detection: Comprehensive scanning of potential risks before AI system release
• Continuous Monitoring: Regular security health checks on production environments
• Compliance Review: Meeting AI security regulatory requirements
• Supply Chain Audit: Assessing security risks of third-party AI services

"Before hackers find vulnerabilities, enterprises need to find them first," emphasized Relaxcloud's product manager. "The value of MGOAT lies not in attack, but in defense — by simulating real attacks, helping enterprises discover and fix vulnerabilities."

Security Challenges in the AI Era

With the rapid development and widespread application of AI technology, security issues in AI systems are becoming increasingly prominent:

• Large language models may leak sensitive information from training data
• Adversarial samples may cause AI systems to make wrong decisions
• Prompt injection may make AI systems execute malicious instructions
• Model theft may cause intellectual property losses

"Traditional security testing methods are no longer adequate for the security challenges of the AI era," industry experts pointed out. "We need to use AI methods to test AI security, and MGOAT represents exploration in this direction."

15-Day Free Trial

To help more enterprises understand the true security status of their AI systems, Relaxcloud offers a 15-day free trial of MGOAT. Enterprises can comprehensively evaluate the security of their AI systems without affecting production environments.

MGOAT is now officially launched, providing services to AI application developers, cloud service providers, fintech companies, internet enterprises, and more.

Media Contact Beijing Relaxcloud Information Technology Co., Ltd. Email: lysk@relaxcloud.cn