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AI Security Posture Management
Gain visibility into your AI ecosystem and tackle emerging risks from training data to autonomous AI deployment.
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Accelerate innovation. Protect your AI-powered applications.
Model visibility and control
Discover models, training data and attack paths
See all AI models in your cloud environment — managed or unmanaged. Get an inventory of endpoints, agents and training data, and use activity analysis to prioritize risks and misconfigurations based on known attack paths.
AI-specific risk analysis
Close the gaps AI attackers target
Mitigate AI-specific threats such as data poisoning and unsanctioned models, comply with modern AI standards such as NIST-AI-600-1 and map dependencies between resources to secure AI supply chains.
Data security for AI
Protect the data that powers AI
Detect and classify sensitive data used for model training, embeddings and retrieval-augmented generation (RAG). Prioritize AI risk based on data sensitivity, including models trained on sensitive data.
AI Attack Path Context
Secure the AI pipeline from code to cloud
Get comprehensive visibility across your entire cloud and AI infrastructure. Understand relationships between AI components and cloud resources to identify attack paths and security gaps and align AI security with your broader cloud-native application protection platform (CNAPP) strategy.
