AI Runtime Security
Panorama
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AI Runtime Security Docs
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- AI Models on Public Clouds Support
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- Deploy AI Runtime Security: Network Intercept in GCP
- Deploy AI Runtime Security: Network Intercept in Azure
- Deploy AI Runtime Security: Network Intercept in AWS
- Configure Strata Cloud Manager to Secure VM Workloads and Kubernetes Clusters
- Harvest IP-Tags from Public and Hybrid Kubernetes Clusters to Enforce Security Policy Rules
- AI Runtime Security for Private Clouds
- Manually Deploy and Bootstrap AI Runtime Security: Network Intercept
Panorama
Create an AI security profile to enable AI application protection, AI data
protection, and AI model protections to your security policy rules.
Where Can I Use This? | What Do I Need? |
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Prerequisite:
Ensure that Panorama `CloudConnector Plugin 2.1.0` can connect to the cloud; refer to
thePanorama onboarding prerequisites for
detailed steps.
- Log in to the Panorama™ management server web interface.
- Select Objects Security Profiles AI Security and select Add.
- Enter a Name and a Description.
- In Model Groups, select the default model group or Add a new one for customized protections. See Create Model Groups for Customized Protections.
- In the Advanced Settings, under Latency:
- Max Inline Latency: Set the maximum allowed latency for inline threat detection. The latency range is between 1-300 seconds.
- Inline Timeout Action: Specify the action to take if inline
threat detection exceeds the Max Inline Latency:
- Allow
- Alert (Report threats asynchronously)
- Block
- Select OK.