MirageLabs
Robustness testing for the AI systems the world runs on. We find where perception, detection, and autonomy break.
The world is moving to secure LLMs. But the models steering perception, detection, and autonomy often go untested. We test those.
Explain. Exploit. Protect.
Explain
See how a model decides, and where it leans on the wrong signal.
Exploit
The Mirage platform attacks your model like a malicious cyber actor would. Gradient, physical, black box. Prove every failure.
Protect
Turn failures into defenses that hold, from adversarial training to certified robustness.
A few bits is all it takes
A perturbation too small to notice flips a confident prediction. It works on pixels, on sound, on network traffic. It never shows up in an accuracy score. It is the first thing we look for.
Every surface that can be fooled
Watch it break a live model
Real attacks across vision, audio, text, and network models. No setup. See exactly where a model fails, and by how much.
Talk to us
Book a demo, or tell us where you need to be more resilient.