Defensive AI
Architecture.
Robust evaluation in the AI era requires advanced analytical frameworks. We utilize stress-testing and generative modeling to ensure the integrity of your assessment portfolio.
Continuous Capability Simulation.
Before you publish a new assessment, we feed it to our swarm of LLMs (GPT-4o, Claude 3.5, Gemini Ultra). If the AI can solve it in under 3 seconds with >90% accuracy, the question is burned. It never reaches a human candidate.
Prompt Injection Hardening
We test your questions against "Jailbreak" prompts designed to trick standard filters. We ensure your assessment platform doesn't become a playground for prompt engineers.
The "Honey-Pot" Protocol
We design specific "Trap Questions" that are insolvable by current LLMs or induce specific hallucinations. A correct answer to a trap question is a positive signal of human cognition; a specific error is a positive signal of AI use.