Is your AI truly robust?
Test your models against adversarial attacks. Locally. In minutes. Without ever exposing your weights.
97% of ML models are vulnerable to adversarial attacks
An imperceptible perturbation can cause your model to fail. In healthcare, finance, or autonomous driving, the consequences can be catastrophic.
Robustness testing in 3 steps
Install
pip install rednblue
One command. Works with PyTorch, ONNX, YOLO.
Test
rnb preview --model model.pt --submit
Tests run 100% locally. Your weights never leave your machine.
Report
SILVER 72%Detailed PDF report for your compliance files.
Your models stay with you
Unlike cloud platforms, RednBlue never accesses your weights. We only receive the encrypted metrics needed to generate your report.
- 100% local execution
- AES-256 encryption
- No access to weights
- GDPR compliant
See It In Action
Watch how RednBlue tests your AI model in minutes
Technical evidence for your audits
Our reports provide the technical documentation required by major regulatory frameworks.
EU AI Act
Article 15
NIST AI RMF
Measure 2.7
ISO/IEC 42001
AI Management
UK DSIT
AI Safety
RednBlue provides independent technical evidence, not official regulatory certifications.
Ready to test your model?
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