agentic-security-threat-modeling

OWASP ASI threat modeling identifies security vulnerabilities specific to AI agents and LLM-powered applications by mapping detected code patterns to the OWASP Top 10 for Agentic Applications categories, generating detailed threat templates with severity and mitigation strategies.

You can audit LLM applications for tool misuse and goal hijack vulnerabilities by analyzing the codebase to detect specific framework indicators and code patterns, which maps security risks to OWASP ASI categories for proactive mitigation before deployment.

Yes, this threat modeling approach works with tool-using AI systems and chatbots by analyzing framework indicators within the application code to identify specific agentic security threats like tool misuse before the chatbot is deployed.

Generate an AI agent threat model by analyzing the application codebase to detect framework indicators, which automatically produces a detailed report mapping identified vulnerabilities to ASI01 through ASI10 categories, severity levels, and specific mitigation strategies.

The OWASP Top 10 for Agentic Applications covers security threats specific to AI agents and LLM-powered systems, including goal hijack, tool misuse, and supply chain attacks, mapped across ASI01 through ASI10 categories with detailed mitigation strategies.

Yes, you can use this code audit approach to identify supply chain attacks in AI systems by analyzing specific code patterns and framework indicators, mapping detected vulnerabilities to the relevant OWASP ASI categories with corresponding severity and mitigation strategies.