HiddenLayer is a premier enterprise cybersecurity platform specifically designed to protect artificial intelligence and machine learning assets. As organizations rapidly adopt large language models (LLMs) and predictive AI, they become vulnerable to new attack vectors like prompt injection, data poisoning, model extraction, and adversarial evasion. HiddenLayer bridges the gap between cybersecurity and data science by offering Machine Learning Detection and Response (MLDR) and a comprehensive AI Model Scanner. The MLDR solution monitors the inputs and outputs of AI algorithms in real-time to detect anomalous behaviors and malicious intent without requiring access to the underlying model weights or sensitive training data. The AI Model Scanner acts as an antivirus for AI, analyzing serialized model artifacts for hidden malware, ransomware, and code execution vulnerabilities before they are deployed into production. Designed for seamless integration into modern MLOps pipelines, HiddenLayer empowers security teams to safely enable AI innovation while strictly adhering to compliance standards and mapping threats to frameworks like MITRE ATLAS.
HiddenLayer is an enterprise cybersecurity company that provides Machine Learning Detection & Response (MLDR) and AI Model Scanning to protect AI algorithms from adversarial attacks, vulnerabilities, and malicious code.
Does HiddenLayer require access to our training data?
No. HiddenLayer operates on a non-intrusive model. The MLDR monitors inputs and outputs at the inference layer, and the Model Scanner analyzes serialized weights without ever needing your raw training data.
What types of AI models do you support?
HiddenLayer supports a wide variety of frameworks including Large Language Models (LLMs), PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, and standard predictive machine learning algorithms.
How does the AI Model Scanner work?
It functions similarly to an antivirus for AI. It parses the complex file structures of serialized AI models (like .pkl or .bin) to identify embedded malware, ransomware, and known vulnerabilities prior to deployment.
FAQ+-
What is HiddenLayer?
HiddenLayer is an enterprise cybersecurity company that provides Machine Learning Detection & Response (MLDR) and AI Model Scanning to protect AI algorithms from adversarial attacks, vulnerabilities, and malicious code.
Does HiddenLayer require access to our training data?
No. HiddenLayer operates on a non-intrusive model. The MLDR monitors inputs and outputs at the inference layer, and the Model Scanner analyzes serialized weights without ever needing your raw training data.
What types of AI models do you support?
HiddenLayer supports a wide variety of frameworks including Large Language Models (LLMs), PyTorch, TensorFlow, Scikit-learn, Keras, XGBoost, and standard predictive machine learning algorithms.
How does the AI Model Scanner work?
It functions similarly to an antivirus for AI. It parses the complex file structures of serialized AI models (like .pkl or .bin) to identify embedded malware, ransomware, and known vulnerabilities prior to deployment.