Guardlyze vs. AWS, Google & Azure
See how Guardlyze's Level 4 content moderation compares to traditional cloud providers. We detect what they miss.
Key Differences
Guardlyze achieves 97%+ accuracy on hate speech detection where AWS scores 62%, Google 71%, and Azure 67%. We support 119 languages (vs. 12), detect algorithmic evasion with 97%+ accuracy (vs. <30%), and catch psychological manipulation — zero-toxic-word attacks that others completely miss.
Detection Accuracy
| Feature | Guardlyze | AWS | Azure | |
|---|---|---|---|---|
| Hate Speech Detection | 97%+ | ~62% | ~71% | ~67% |
| Evasion Attack Detection | 97%+ | <30% | <30% | <30% |
| Psychological Manipulation | ||||
| Grooming Pattern Detection | ||||
| Coded Language Detection |
Coverage
| Feature | Guardlyze | AWS | Azure | |
|---|---|---|---|---|
| Languages Supported | 119 | 12 | 12 | 12 |
| Content Categories | 45+ | 8 | 8 | 8 |
| Text Moderation | ||||
| Image Moderation | ||||
| Audio Moderation |
Evasion Detection
| Technique | Guardlyze | AWS | Azure | |
|---|---|---|---|---|
| Unicode Confusables | ~98% | <25% | <25% | <25% |
| BiDi Control Attacks | ~97% | <20% | <20% | <20% |
| Zalgo Text | ~99% | <30% | <30% | <30% |
| Zero-Width Characters | ~98% | <15% | <15% | <15% |
| Leetspeak (k1ll, h8te) | ~96% | ~40% | ~45% | ~40% |
Privacy & Compliance
| Feature | Guardlyze | AWS | Azure | |
|---|---|---|---|---|
| Zero Data Retention Option | ||||
| GDPR Compliant | ||||
| DSA Compliant | ||||
| KOSA Compliant | ||||
| Data Retention | 0 days | 30 days | 30 days | 30 days |
Protection Level
Level 4
Guardlyze
Level 2
AWS
Level 2
Level 2
Azure
Understanding the 4 Levels of Content Moderation
Blocks explicit words like "kill", "nazi". Easily bypassed with "k1ll", "n4zi". Table stakes, not a solution.
ML analyzes patterns but trained on what people say, not what they mean. Misses manipulation with zero toxic words.
Analyzes power dynamics and psychological intent. Catches gaslighting, grooming, and DARVO tactics even with zero toxic words.
Normalizes and decodes every evasion vector before classification. Unicode confusables, BiDi attacks, Zalgo text — all caught at 97%+.
Frequently Asked Questions
Common questions about Guardlyze vs. competitors
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