What is HiddenLayer?
HiddenLayer is an AI security platform that protects machine learning models from threats and attacks. It detects model tampering, prevents data poisoning, and blocks unauthorized access, helping data scientists and AI engineers maintain the integrity of their AI systems.
What sets HiddenLayer apart?
HiddenLayer distinguishes itself with real-time threat detection capabilities, allowing data scientists to spot and neutralize attacks on AI models as they happen. This proactive approach helps maintain model accuracy and reduces downtime from security breaches. HiddenLayer's customizable security protocols integrate smoothly with existing AI infrastructures, making it easier for AI engineers to ensure compliance with data protection regulations.
HiddenLayer Use Cases
- AI model security
- Threat detection
- Vulnerability scanning
- AI red teaming
Who uses HiddenLayer?
Features and Benefits
- AI Detection and ResponseMonitors AI systems in real-time to identify and respond to potential security threats or anomalies.
- Model ScannerScans AI models for vulnerabilities, malware, and potential security risks before deployment.
- Red Team TrainingOffers specialized training for security teams to simulate and defend against AI-specific attacks.
- Secure AI DevelopmentProvides tools and practices for embedding security measures throughout the AI development lifecycle.
- Adversarial TestingConducts rigorous testing to evaluate AI model resilience against various types of attacks and vulnerabilities.
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