Overview

Integrating Advanced Penetration Testing and Red Teaming to Provide Comprehensive Security for Your AI Ecosystem. 

As Generative AI, chatbots, and AI-driven decision systems become deeply integrated into core business processes, enterprises face a rapidly evolving cybersecurity threat landscape. CHT Security offers a specialized AI Application System Security Testing Service designed to address these unique challenges. By leveraging years of elite Red Team experience and extending it to the AI domain, we help organizations identify hidden vulnerabilities and establish a resilient, trustworthy AI environment. 

OWASP Top 10 for LLM Applications Attack Scenarios and Corresponding Risks

Benefits

By employing professional cybersecurity assessment methodologies, we eliminate security blind spots in AI deployments, preventing system breaches and protecting corporate reputation. 

  • Proactive Vulnerability Management: Identify AI-specific risks early to minimize exposure. 
  • Regulatory Governance: Strengthen AI governance frameworks in alignment with ISO/IEC 42001 requirements. 
  • Compliance Assurance: Support AI security audits and satisfy third-party verification demands. 
  • Brand Trust: Enhance the competitive edge and reliability of your AI-powered products.

Key Features

1. AI-Centric Offensive & Defensive Perspective 

Our team consists of certified experts (holding OSCP, OSWE, GWAPT, ECSA, CEH) with extensive experience across finance, government, military, healthcare, and high-tech manufacturing sectors. We utilize a combination of proprietary intelligence, licensed commercial tools, and custom-developed scripts to provide highly specialized security recommendations tailored to your specific infrastructure. 

2. Specialized AI Security Assessment Items 

Our testing framework incorporates international standards such as OWASP Top 10 for LLM, MITRE ATLAS, and NIST AI RMF. Key assessment areas include: 

  • Prompt Injection (Direct and Indirect) 
  • Training Data Poisoning & Model Manipulation 
  • Sensitive Information Disclosure 
  • Insecure Output Handling & Excessive Agency

3. End-to-End Risk Disclosure 

Recognizing that AI systems are often hosted on cloud or API-heavy architectures, our scope extends to cloud configurations and API security. We provide: 

  • Detailed Technical Reports: Including reproducible attack steps and risk ratings. 
  • Remediation Roadmap: Practical improvement recommendations for risk governance and protection. 
  • Confidentiality: All testing is conducted under strict ISO 27001 standards to ensure client data integrity and privacy.

Target Audience

This service is essential for organizations that are:

  • Developing or Deploying LLMs: Teams managing large-scale language models. 
  • Building AI Service Platforms: Providers of AI chatbots and intelligent decision systems. 
  • Operating in High-Risk Sectors: Finance, healthcare, and critical manufacturing. 
  • Undergoing Security Audits: Organizations with strict supply chain or external review requirements.

Reference Standards

Our methodology is grounded in the industry's most rigorous frameworks:

  • OWASP Top 10 for LLM Applications 
  • MITRE ATLAS (Adversarial Threat Landscape for AI Systems) 
  • NIST AI Risk Management Framework (AI RMF) 
  • ISO/IEC 42001:2023 (AI Management System Standard)