Azure Prompt Shield 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: Prompt Shield scores NaN% and Model Armor scores NaN% on F1 score (higher is better).

Head-to-Head Overview

Prompt Shield is the overall winner in this comparison!

Guardrail Metrics

F1 Score

Prompt Shield
42.980
Model Armor
4.680

Accuracy

Prompt Shield
59.410
Model Armor
45.540

Precision

Prompt Shield
93.520
Model Armor
76.410

Recall

Prompt Shield
27.900
Model Armor
10.670

False Positive Rate

Prompt Shield
2.350
Model Armor
4.700

False Negative Rate

Prompt Shield
72.100
Model Armor
89.330

Average Latency (ms)

Prompt Shield
0.173
Model Armor
0.703

p50 Latency (ms)

Prompt Shield
169.357
Model Armor
381.288

p90 Latency (ms)

Prompt Shield
203.948
Model Armor
1549.410

Key Highlights

  • Azure Prompt Shield has a better F1 Score.
  • Azure Prompt Shield has a better Accuracy.
  • Azure Prompt Shield has a better Precision.
  • Azure Prompt Shield has a better Recall.
  • Azure Prompt Shield has a better False Positive Rate.
  • Azure Prompt Shield has a better False Negative Rate.
  • Azure Prompt Shield has a better Average Latency (ms).
  • Azure Prompt Shield has a better p50 Latency (ms).
  • Azure Prompt Shield has a better p90 Latency (ms).

Security Profile

Outward is better on every axis.

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

Frequently asked questions

Is Azure Prompt Shield 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: Prompt Shield scores NaN% and Model Armor scores NaN% on F1 score (higher is better).

What is the F1 score of Prompt Shield vs Model Armor?

Prompt Shield 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 Prompt Shield 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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