AI Red Teaming ServiceFor AI services you can trust,
AI security validation from an attacker's perspective

Across AI services—generative AI, RAG, AI agents, and more— we identify security, safety, and policy-compliance risks ahead of time through adversarial inputs and real attack scenarios

AI answers as if everything's normal,
but information can leak and systems can be attacked

AI services can expose information and malfunction depending on the input and context. Attackers use Prompt Injection and Jailbreak to manipulate responses and behavior and bypass policies, and the result—leaks of sensitive information and system misuse—erodes both trust in the service and your control over it.

Before launching an AI service, advance validation of its trustworthiness and operational control is essential.
We perform tailored security validation across diverse forms of AI services.

  • Prompt Attack

    Rise of AI-Specific Attacks

    Attack techniques unique to AI services—Prompt Injection, Jailbreak, Indirect Prompt Injection, and more—are surging.

  • Data Leakage

    Risk of Sensitive Data Exposure

    The risk of exposing sensitive information and internal knowledge or leaking the system prompt is ever-present, and hallucination introduces brand-trust risk.

  • Agent Risk

    Potential Tool / API Misbehavior

    Tool and API integrations carry the risk of excessive privilege use and misbehavior, and new security threats are emerging in AI agent environments.

  • Compliance

    Regulatory Compliance Required

    Compliance with AI security regulations such as OWASP Top 10 for LLM and the EU AI Act is becoming mandatory, and trustworthiness validation is required before launch.

How It Differs from Existing Services

See at a glance how AI Red Teaming differs from penetration testing and red teaming.

Penetration Testing (PT)

Assessment Target
Technical vulnerabilities in web, app, and infrastructure
Perspective
Discovering system-level vulnerabilities
Key Techniques
Based on OWASP Top 10 and CVEs
Deliverables
Vulnerability report, remediation guide

Red Team (RT)

Assessment Target
Organizational detection and response framework
Perspective
Comprehensive validation based on real attack scenarios
Key Techniques
APT Simulation, MITRE ATT&CK
Deliverables
Attack timeline, detection-status analysis

AI Red Teaming

Assessment Target
AI service malfunction, misuse, information exposure, policy bypass
Perspective
Domain dedicated to AI-specific risk
Key Techniques
Prompt Injection, Jailbreak, RAG Manipulation
Deliverables
Risk matrix, AI-specific remediation guide

Key Assessment Items — Based on OWASP Top 10 for LLM

We perform systematic AI security assessment based on OWASP Top 10 for LLM.

Prompt Attacks

  • Prompt Injection / Jailbreak
  • Guardrail Bypass
  • Indirect Prompt Injection
  • Malicious Document / Content Injection

Information Leakage

  • Sensitive Data Leakage
  • PII / Prompt Leakage
  • System Prompt Exposure
  • Internal Knowledge Base Leakage

Output Risk

  • Hallucination / Unsafe Output
  • Policy Violation
  • Harmful Response Generation
  • Brand-Trust Risk

Agent / Tool Risk

  • Tool Abuse / Excessive Action
  • Privilege Misuse
  • RAG Manipulation
  • Knowledge Poisoning

Delivery Process — A Systematic 5 Stages

We comprehensively validate the security risks of your AI service through a systematic five-stage process.

  1. Scoping & Threat Modeling

    Scoping and Threat Modeling

    We identify the service architecture, privileges, data flows, and attack surface, and build a threat model.

  2. Scenario Design

    Attack Scenario Design

    We design attack scenarios suited to your industry and business context, and build out the test cases.

  3. Execution

    Attack Execution

    We carry out multi-angle attacks combining automated and manual techniques to surface real vulnerabilities.

  4. Analysis

    Vulnerability Analysis and Assessment

    We set priorities through vulnerability reproduction, risk assessment, and business-impact analysis.

  5. Remediation & Re-Test

    Remediation and Re-Validation

    After improving prompts, guardrails, privileges, and operational controls, we re-validate to confirm the security level.

Deliverables & Value Proposition

We provide the validation results in a form that both executives and practitioners can put to use.

Executive Summary Report
A summary of key risks, business impact, and decision points
Remediation Guide
Concrete remediation recommendations for prompts, guardrails, privileges, and operational controls
Re-Assessment Report
Re-validation results after applying remediations, plus residual risk and follow-up recommendations
Risk Matrix
A quantitative assessment of each vulnerability's risk level, priority, and scope of impact
Attack Scenarios & Evidence
Reproducible attack scenarios, screenshots, and prompt logs included
Quantitative / Qualitative Analysis
Data-driven, including attack success rate, policy-bypass rate, and information-exposure cases

WHY STEALIEN

Combining offensive security expertise with AI security research,
Korea's only AI Red Teaming service

  • 11+ Years of Offensive Security Expertise

    We hold offensive security capabilities at the highest level in Korea, having delivered penetration testing and red team services for over 10 years.

  • AI Security Research Capabilities

    We have built up hands-on research and response experience with the latest AI threats, including LLM vulnerability research and AI agent security analysis.

  • End-to-End Security Service

    We connect AI Red Teaming → penetration testing → administrative consulting in one stop, supporting you in building a comprehensive security framework.

  • 11+ Years

    Offensive Security Expertise

  • 100%

    OWASP LLM Coverage

  • End-to-End

    One-Stop Security Service

Recommended Industries

We recommend prioritizing industries where the trustworthiness, safety, and policy compliance of AI services are critical.

  • Finance · Fintech

    Areas where sensitive information and policy compliance are key, such as internal GPTs, customer-service chatbots, and recommendation models

  • Public Sector · Government

    Areas where validating public trust is essential, such as RAG-based administrative systems and citizen-service AI

  • Manufacturing · Enterprises

    Areas where protecting trade secrets and internal data is critical, such as work copilots and internal knowledge-search RAG

  • Services · Platforms

    Areas where user experience and brand trust are directly at stake, such as customer-service AI and recommendation/classification models

  • Healthcare

    Areas where medical accuracy and PII protection are key, such as AI diagnostic assistance and patient-consultation chatbots

  • Mobility · E-Commerce

    Areas where business-policy compliance matters, such as personalized recommendation AI and price/inventory classification models

Frequently Asked Questions

Validate your AI service's security before launch

Identify potential risks ahead of time with attacker-perspective AI Red Teaming and build an AI service you can trust.