The growing risk in AI environments

Protect AI without putting on the brakes

Problem
Solution
Shadow AI is hiding in plain sight
Manage sanctioned and shadow AI tools in your environment
Compliance pressures are mounting
New AI regulations are coming. Stay ahead of new AI regulations by gaining clear visibility into your AI workloads, their locations, and the risks they carry
Teams lack experience in securing AI
Our purpose-built solution makes AI security easy to implement regardless of your team’s experience level

Elevate AI workload security with a platform built for AI environments

AI threat visibility

Automatically detects suspicious activities and threats within AI workloads in your environment across key solutions such as OpenAI, Amazon Bedrock, Anthropic, Google Vertex AI, IBM watsonx, and TensorFlow.

Risk prioritization

Enriches static risks, such as public exposure and misconfigurations, by incorporating real-time threats and suspicious activities — like shell access or remote file copying — allowing you to prioritize the most urgent risks to your AI workloads and data.

Attack path analysis

Uncovers hidden attack paths by correlating AI assets with activity, visualizing risks across interconnected resources. With runtime insights and real-time detections, it identifies active lateral movement, so you can stop attackers in their tracks.

Runtime vulnerability exposure

Prioritizes critical vulnerabilities in your AI deployments by leveraging runtime insights to identify the highest-risk AI packages in use, ensuring the most critical vulnerabilities are addressed first.

Securing AI

Navigating a new frontier of security risk

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