HiddenLayer AI Security Platform

HiddenLayer AI Security Platform is an enterprise artificial intelligence and machine learning security platform engineered to protect commercial AI models, large language models (LLMs), and algorithmic intellectual property from adversarial attacks, model theft, data poisoning, and unauthorized tampering. As organizations operationalize proprietary AI algorithms and generative AI tools, traditional endpoint and network security tools cannot detect attacks targeted directly at model logic and neural network weights. HiddenLayer addresses this emerging threat landscape through its Machine Learning Detection and Response (MLDR) engine, which operates non-invasively alongside AI models to monitor inference requests and telemetry in real time. The platform detects adversarial machine learning attacks—including prompt injection, model inversion, membership inference, adversarial input perturbation, and data poisoning—without requiring access to raw model weights or training data. Furthermore, HiddenLayer provides automated Model Scanner capabilities that scan machine learning artifacts and open-source models for embedded malicious payloads, arbitrary code execution risks, and backdoors before deployment. HiddenLayer equips enterprise AI teams and CISOs with the security controls needed to protect mission-critical AI investments and ensure algorithmic integrity.