PRISM's Behavior Elicitation Tool (BET) is an automated AI system designed to probe the robustness of your LLM against prompt injections. Unlike static benchmarks that test models against a fixed set of prompts, BET actively explores and adapts its approach based on the model's responses and explores vulnerabilities through systematic optimization. This dynamic approach ensures we can measure robustness against both current and emerging attack strategies.
Context- Specific
Assessment
Tailor your testing focused on your deployment context to uncover specific misuse vulnerabilities.
Comprehensive
Coverage
Systematically explores all attack surfaces
for thorough vulnerability detection.
Continuous
Adaptation
Evolves with emerging threats by integrating
new attack techniques over time.
Actionable
Robustness Thresholds
Provides measurable resistance times to
set clear security objectives.
Scalability
& Efficiency
Automated testing enables efficient,
wide-scale evaluation across scenarios.