A common mistake in AI security testing is assuming that a handful of prompts can accurately measure an agent's resilience.
In reality, attackers don't repeat the same technique.
They change tactics.
They chain attacks.
They exploit new trust boundaries.
That's why Crucible includes 170+ attack vectors spread across multiple security categories.
Rather than focusing on a single vulnerability class, it evaluates how an AI agent responds to a broad range of adversarial behaviors—from prompt injection and jailbreaks to memory poisoning, MCP security, browser agents, infrastructure escalation, and more. These attack vectors are organized into dedicated modules so testing remains structured while covering a wide range of AI-specific risks.
The goal isn't to overwhelm developers.
It's to make comprehensive security testing repeatable, automated, and practical.
Because real-world AI systems deserve more than a few manually written prompts.
Pytest for AI Agents.
Top comments (0)