AI Threat Modeling
AI systems face unique security risks like data poisoning, model inversion, and adversarial attacks - our AI Threat Modeling identifies which threats pose the greatest danger to your organization before they cause harm.
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Know where Your AI systems or applications are exposed
AI systems and applications create specific security vulnerabilities, including data poisoning, model inversion, and adversarial attacks. These risks can result in data breaches, reputational damage, and financial losses.
AI Threat Modeling helps you identify which AI-specific risks pose the greatest danger to your organization before they materialize. By systematically analyzing your AI application, data flows, and potential attack points, it helps identify where your most significant security risks are. With these insights, you can prioritize and implement effective measures to reduce risk and protect your operations.
Map AI specific vectors
Gain insight into the threats your AI application and organization potentially faces
Prioritize security investments
Based on real AI risk impact to your business operations
Know which action to take
Receive concrete mitigation steps designed for your specific AI system and environment
01
Preparation
Our experts work with yours to define scope and identify key participants for the interactive session. We'll request relevant documentation such as architecture diagrams, user group overviews, and external dependencies.
02
Threat Modeling Session
During an interactive session, our specialists work with your team to document system details and identify potential threats using STRIDE and OWASP Top 10 LLM methodologies. We create a Data Flow Diagram showing your system architecture, threats, and attack vectors.
03
Reporting and recommendations
We prepare a detailed AI Threat Modeling report covering scope, identified threats, and a high-level mitigation plan. Some threats may require deeper analysis to assess real-world risk impact. The report gives you concrete next steps for security improvement.
Our AI Threat Modeling Methodologies
We select the most appropriate methodology for your AI environment. OWASP Top 10 LLM serves as our primary AI framework, addressing critical risks like prompt injection, data poisoning, and system prompt leakage. We also apply STRIDE (Microsoft's six-category threat model), Unified Kill Chain and Attack Trees for hierarchical risk analysis. Sector-specific methodologies may be used when relevant, with final selection determined during preparation.
Our expertise
Bureau Veritas Cybersecurity specializes in AI-specific security risks that traditional threat modeling overlooks. Our experts understand how AI systems face unique vulnerabilities like prompt injection, data poisoning, and model manipulation attacks. We combine established frameworks like STRIDE with AI-focused methodologies including OWASP Top 10 LLM and our proprietary Unified Kill Chain model developed by our CTO Paul Pols.
Contact us about AI Threat Modeling
Would you like to learn more about AI Threat Modeling? Please fill out the form below, and we will contact you within one business day.
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Why choose Bureau Veritas Cybersecurity
Bureau Veritas Cybersecurity is your expert partner in cybersecurity. We help organizations identify risks, strengthen defenses and comply with cybersecurity standards and regulations. Our services cover people, processes and technology, ranging from awareness training and social engineering to security advice, compliance and penetration testing.
We operate across IT, OT and IoT environments, supporting both digital systems and connected products. With over 300 cybersecurity professionals worldwide, we combine deep technical expertise with a global presence. Bureau Veritas Cybersecurity is part of the Bureau Veritas Group, a global leader in testing, inspection and certification.