HiddenLayer is an AI-focused cybersecurity platform designed to protect machine learning models and artificial intelligence systems from modern threats. Created for enterprises, developers, and security teams, the platform acts as a defensive shield for AI assets, helping organizations safely adopt and scale generative AI and predictive models. It functions by actively detecting potential security threats, identifying vulnerabilities within model pipelines, and preventing adversarial attacks such as data poisoning or model inversion. By offering comprehensive visibility into the health and integrity of AI infrastructure, HiddenLayer enables businesses to meet strict compliance standards while mitigating risks associated with automated decision-making systems. As organizations increasingly integrate AI into their core operations, this tool provides a crucial layer of defense, ensuring that proprietary algorithms and sensitive training data remain secure against evolving cyber threats.
Problem: Enterprise chatbots are vulnerable to adversarial prompts that expose customer data.
Solution: Analyzes data inputs and model calls to prevent runtime security breaches.
Example: A financial service monitors chatbot queries to block malicious text instructions.
Problem: Employees using unapproved conversational AI tools can expose internal source code.
Solution: Automatically detects AI usage across corporate networks to maintain compliance.
Example: A tech firm identifies unsecured third-party model connections on local company systems.
Problem: Deployed open-source model updates can contain hidden vulnerabilities or poisoned weights.
Solution: Validates model integrity across pipeline steps before deployment.
Example: A healthcare database monitors model files to prevent corrupted updates.
Target audience: Best for: Enterprise CISO teams, ML engineering groups, Risk managers
Pricing: Open Source · Categories: Developer Tools
Tags: AI, developer tools, Generative AI
HiddenLayer is an AI cybersecurity platform designed to protect machine learning models and artificial intelligence infrastructure. It helps technical organizations monitor production runtime environments, identify shadow AI usage across corporate networks, execute real-world attack simulations, and validate model supply chains against vulnerabilities and data poisoning attacks.
HiddenLayer is built primarily for enterprise CISO teams, machine learning engineering groups, and risk managers. Organizations deploying predictive models, generative chatbots, and automated decision-making workflows use the platform to secure algorithms, safeguard proprietary assets, and maintain strict data compliance standards.
HiddenLayer provides automated detection of unauthorized shadow AI across company systems, runs real-world adversarial attack simulations, and executes supply chain integrity checks on model weights. It also delivers runtime protection against prompt injection attacks and generates vulnerability reports across the AI threat landscape.
HiddenLayer operates under an open source pricing model. Organizations and security engineers can access and evaluate the platform's core security capabilities and defensive tools according to its open source licensing terms without upfront proprietary licensing costs.
HiddenLayer validates model integrity across every pipeline stage before deployment occurs. By scanning model updates and weights, it detects hidden vulnerabilities and prevents corrupted or poisoned open-source models from entering enterprise production environments.