ai-threat-testing

Automate LLM threat testing across the OWASP LLM Top 10 using 10 specialized agents to identify and exploit vulnerabilities like prompt injection, data leakage, and model extraction. It provides actionable proof-of-concept artifacts and remediation guidance for authorized security assessments.

AI threat testing uses specialized agents to identify and exploit LLM-specific vulnerabilities. It targets prompt injection and other OWASP risks by executing adversarial testing workflows that capture evidence artifacts, logs, and screenshots to support remediation.

Yes, you can run scalable, policy-compliant adversarial testing workflows in authorized environments. Enter a target LLM endpoint to execute the 10 agents, which provide clear reporting and remediation guidance for your security assessments.

Run evidence-capture workflows during LLM security assessments to automatically collect logs, screenshots, and proof-of-concepts. This identifies data leakage and supply chain risks while generating actionable reports for remediation.

Yes, pentest workflows include specialized agents for model extraction and excessive agency among the OWASP LLM Top 10. They identify these threats, capture evidence, and provide remediation guidance for authorized security testing.

Avoid automated LLM security assessments in unauthorized or non-compliant environments. These adversarial testing workflows are designed for policy-compliant testing exclusively in authorized environments to ensure safe vulnerability identification and reporting.