Google Cloud Model Armor vs Azure Prompt Shield

Detailed comparison for runtime guardrails

Google CloudAzure

On Guardion's Prompt Attack Risk Benchmark, Azure Prompt Shield is the more secure of the two: Model Armor scores NaN% and Prompt Shield 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

Model Armor
4.680
Prompt Shield
42.980

Accuracy

Model Armor
45.540
Prompt Shield
59.410

Precision

Model Armor
76.410
Prompt Shield
93.520

Recall

Model Armor
10.670
Prompt Shield
27.900

False Positive Rate

Model Armor
4.700
Prompt Shield
2.350

False Negative Rate

Model Armor
89.330
Prompt Shield
72.100

Average Latency (ms)

Model Armor
0.703
Prompt Shield
0.173

p50 Latency (ms)

Model Armor
381.288
Prompt Shield
169.357

p90 Latency (ms)

Model Armor
1549.410
Prompt Shield
203.948

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)
Model Armor
Prompt Shield
Full security profile
Google Cloud Model Armor
Full security profile
Azure Prompt Shield

Frequently asked questions

Is Google Cloud Model Armor or Azure Prompt Shield more secure?

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

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

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

How were Model Armor and Prompt Shield 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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