What Should an AI Security Report Card Look Like?

AI models are routinely evaluated on reasoning, coding, accuracy, and performance. But what about security?

In a recent Lounge.ai discussion about AI security benchmarking, Ryan Allis suggested creating a one-page security report card that businesses could use to evaluate AI models and autonomous agents.

I thought that was an interesting idea, so I put together an initial framework.

Five proposed AI security measures:

Unauthorized Agent Actions: Can an AI agent execute actions outside its approved permissions or instructions?

Attack Success Rate (ASR): How frequently do adversarial attacks achieve their intended objectives?

Adversarial Robustness: How well does the model maintain performance when exposed to adversarial inputs?

Prompt Injection and Jailbreak Resistance: Can attackers manipulate the model into ignoring security boundaries or executing unintended instructions?

Data Leakage and Privacy Protection: Can attackers extract sensitive information, private data, or system instructions?

Why does this matter?
A model might score exceptionally well on traditional AI benchmarks while remaining vulnerable to attacks that could create significant operational, financial, or cybersecurity risks.

For businesses deploying agentic AI, understanding these risks may be just as important as measuring model capabilities.

The attached scorecard is an initial evaluation template, not a completed security assessment. No model has been tested or assigned security scores as part of this exercise.

The next logical step would be to evaluate a publicly available AI agent using reproducible tests and publish its results, including the testing methodology and limitations.

My question for the Lounge.ai community:
Should AI vendors publish standardized security report cards alongside their traditional performance benchmarks?

And are these the right five measures, or is something important missing?

I'd particularly welcome feedback from AI founders, cybersecurity researchers, enterprise technology leaders, and developers working with autonomous AI agents.

Thanks to Ryan Allis for suggesting the report card concept!