🔍 AI Discovery
HiddenLayer helps businesses find and track AI applications, models, and assets across their environments. This gives security teams a clearer view of where AI is being used and what needs protection. It helps uncover hidden risks and reduces security blind spots as organizations adopt more AI-powered tools and workflows.
🛡️ AI Supply Chain Security
Third-party AI models can introduce security risks that are difficult to spot. HiddenLayer helps organizations scan and assess both external and internally developed models for hidden vulnerabilities. This allows security teams to identify potential threats before deployment. It also helps businesses protect their AI supply chain and reduce exposure to attacks.
⚔️ AI Attack Simulation
HiddenLayer allows security teams to test how AI applications respond to different attacks. Its attack simulation capabilities help uncover weaknesses before malicious users can exploit them. Teams can evaluate their existing defenses and understand where improvements are needed. This makes it easier to prepare AI systems for real-world security threats.
🚨 AI Runtime Security
Protecting AI applications does not stop once they are deployed. HiddenLayer provides runtime security to monitor and defend AI systems while they operate. It helps detect threats such as adversarial attacks, suspicious behavior, and potential data leakage. This gives businesses an extra layer of protection during everyday AI operations.
🧪 Model Scanning
HiddenLayer’s model scanning capabilities help identify security issues in proprietary and third-party AI models. Businesses can check models for hidden risks before using them in important applications. This is especially useful for organizations that rely on external AI components and want to avoid introducing vulnerabilities into their systems.
🔐 AI Guardrails
AI Guardrails help businesses control how their AI applications behave and respond to different inputs. HiddenLayer supports policy-based controls that help prevent misuse, data leakage, and adversarial attacks. These safeguards are useful for organizations that want to maintain better oversight of AI systems while allowing employees and customers to use them safely.
