ai-threat-testing

To test LLM applications for OWASP security vulnerabilities, systematically assess prompt injection, output handling, and supply chain risks using specialized agents. This process identifies and remediates threats through structured workflows spanning reconnaissance to evidence collection.

AI threat modeling for prompt injection identifies how malicious inputs manipulate LLM behavior to bypass safety controls. It works by systematically testing authorized environments to document vulnerabilities, collect evidence, and generate remediation guidance against such attacks.

Yes, you can use this AI security assessment for red-team exercises and vendor risk reviews. The authorized testing framework provides repeatable workflows and remediation-oriented results suitable for internal audits and evaluating external LLM applications.

Yes, pentesting LLM applications requires documented testing authorization and controlled environments. These prerequisites ensure comprehensive evidence collection and security assessments are conducted safely without disrupting actual LLM services.

To remediate excessive agency and model extraction risks in LLM systems, apply targeted assessments to identify specific vulnerabilities. Structured reporting then provides actionable remediation guidance to prevent unauthorized actions and model theft.