Google Cloud Model Armor vs. Protegrity
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Model Armor | Protegrity |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 39 | 14 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 8.5 | 9.3 |
| Quality of support | 8.4 | 9.3 |
| Meets requirements | 8.8 | 9.3 |
| NPS | 75 | 57.142857 |
| Small Business | 56.4% | 23.1% |
| Mid-Market | 23.1% | 46.2% |
| Enterprise | 20.5% | 30.8% |
| Total page views | 737 | 307 |
| Total LLM citations | 70 | 666 |
Google Cloud Model Armor
Protegrity
Protegrity secures the data and knowledge layer AI runs on, binding protection directly to the data itself rather than locking access around it. Its platform tokenizes, encrypts, and masks sensitive data at the field and knowledge-graph level, enforcing policy in real time at the point of a prompt, query, or answer — across AWS, Azure, GCP, and OpenShift, with FIPS-validated, post-quantum-ready cryptography.