Google Cloud Model Armor vs Lakera Guard

Detailed comparison for runtime guardrails

Google CloudLakera

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

Model Armor
4.680
Guard
0.000

Accuracy

Model Armor
45.540
Guard
0.000

Precision

Model Armor
76.410
Guard
0.000

Recall

Model Armor
10.670
Guard
0.000

False Positive Rate

Model Armor
4.700
Guard
0.000

False Negative Rate

Model Armor
89.330
Guard
0.000

Average Latency (ms)

Model Armor
0.703
Guard
0.000

p50 Latency (ms)

Model Armor
381.288
Guard
0.000

p90 Latency (ms)

Model Armor
1549.410
Guard
0.000

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.
  • Lakera Guard has a better False Positive Rate.
  • Lakera Guard has a better False Negative Rate.
  • Lakera Guard has a better Average Latency (ms).
  • Lakera Guard has a better p50 Latency (ms).
  • Lakera Guard 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
Guard
Full security profile
Google Cloud Model Armor
Full security profile
Lakera Guard

Frequently asked questions

Is Google Cloud Model Armor or Lakera Guard more secure?

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

What is the F1 score of Model Armor vs Guard?

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

How were Model Armor and Guard 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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