Azure PromptShield vs Google Cloud Model Armor

Detailed comparison for runtime guardrails

AzureGoogle Cloud

On Guardion's Prompt Attack Risk Benchmark, Google Cloud Model Armor is the more secure of the two: PromptShield scores NaN% and Model Armor scores NaN% on F1 score (higher is better).

Head-to-Head Overview

Model Armor is the overall winner in this comparison!

Guardrail Metrics

F1 Score

PromptShield
0.000
Model Armor
4.680

Accuracy

PromptShield
0.000
Model Armor
45.540

Precision

PromptShield
0.000
Model Armor
76.410

Recall

PromptShield
0.000
Model Armor
10.670

False Positive Rate

PromptShield
0.000
Model Armor
4.700

False Negative Rate

PromptShield
0.000
Model Armor
89.330

Average Latency (ms)

PromptShield
0.000
Model Armor
0.703

p50 Latency (ms)

PromptShield
0.000
Model Armor
381.288

p90 Latency (ms)

PromptShield
0.000
Model Armor
1549.410

Key Highlights

  • Google Cloud Model Armor has a better F1 Score.
  • Google Cloud Model Armor has a better Accuracy.
  • Google Cloud Model Armor has a better Precision.
  • Google Cloud Model Armor has a better Recall.
  • Azure PromptShield has a better False Positive Rate.
  • Azure PromptShield has a better False Negative Rate.
  • Azure PromptShield has a better Average Latency (ms).
  • Azure PromptShield has a better p50 Latency (ms).
  • Azure PromptShield has a better p90 Latency (ms).

Security Profile

Outward is better on every axis.

F1 ScoreAccuracyPrecisionRecallFPRFNRAverage Latency (ms)p50 Latency (ms)p90 Latency (ms)
PromptShield
Model Armor
Full security profile
Azure PromptShield
Full security profile
Google Cloud Model Armor

Frequently asked questions

Is Azure PromptShield or Google Cloud Model Armor more secure?

On Guardion's Prompt Attack Risk Benchmark, Google Cloud Model Armor is the more secure of the two: PromptShield scores NaN% and Model Armor scores NaN% on F1 score (higher is better).

What is the F1 score of PromptShield vs Model Armor?

PromptShield scores NaN% F1 and Model Armor scores NaN% F1 on Guardion's prompt-attack benchmark. F1 balances precision and recall — higher is better.

How were PromptShield and Model Armor tested?

Both were evaluated via API at production-like sensitivity against 30+ prompt-attack categories using zero-shot, Crescendo, and TAP methods, scored by F1.

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