Your algorithms and training sets are as unique as your fingerprints and not meant for public consumption. But access to them is not necessary to protect you against attacks.
HiddenLayer MLDR uses a patent-pending technique that observes the vectorized inputs into your ML model and the decisions that result from it. The system learns what is normal for your unique ML application without ever needing to be explicitly told.
Not costly interference
Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity, performance inefficiency, and cost. Not us.
to suspicious activity around your AI/ML assets.
your AI/ML assets to keep them safe.
across enterprise AI/ML models with comprehensive reporting.
For information about protecting your ML secrets with HiddenLayer, book a demo.
Built on the standard for AI security
HiddenLayer uses the MITRE ATLAS framework to align with the industry’s leading authority on adversarial threats targeting artificial-intelligence systems.
Showing the way
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