AI Runtime Security
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What's New in the NetSec Platform

AI Runtime Security

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AI Runtime Security

AI Runtime Security leverages critical anomaly detection capabilities and protects AI models from manipulation to ensure the reliability and integrity of AI output data.
AI Runtime Security helps you to discover, protect, and defend your enterprise traffic flows against all potential threats by including a focus on addressing AI-specific vulnerabilities such as prompt injection, and denial-of-service (DoS) attacks on AI models. AI Runtime Security combines continuous runtime threat analysis of your AI applications, models, and data sets with AI powered security to stop attackers in their tracks. AI Runtime Security leverages real-time AI-powered security to protect your AI application ecosystem from both AI-specific and conventional network attacks.
AI Runtime Security leverages critical anomaly detection capabilities to protect AI models from manipulation and to ensure the reliability and integrity of AI output data. It rejects prompt injections, malicious responses, training data poisoning, malicious URLs, command and control traffic, embedded unsafe URLs, and lateral threat movement.
AI Runtime Security uses Palo Alto Networks Strata Cloud Manager (SCM) as the primary configuration and management service. To begin with, activate and onboard your cloud service provider account on SCM. The AI Security Profile imports security capabilities from Enterprise DLP and URL Filtering for inline detection of threats in AI application traffic.
AI Runtime Security is powered by four key components:
  • Discover- AI Runtime Security automatically discovers your enterprise AI applications and non-AI applications. The AI Runtime Security dashboard provides complete visibility and security insights for applications in just a few clicks. You can use the dashboard to review actionable intelligence on AI traffic flows covering your applications, models, user access, and infrastructure threats.
  • Deploy- AI Runtime Security deployment using Terraform templates automates the deployment procedure, which lowers the human error, lowering the time required for manual configuration tasks and for protecting your enterprise AI applications. Deploy your AI Runtime Security instance by downloading the Terraform templates and permissions to your cloud service provider account projects to analyze flow logs and DNS logs.
  • Detect- AI Runtime Security identifies unprotected traffic flows that contain potential security threats to the cloud network and detect the potential security risks based on logs and recommended actions for remediation.
  • Defend- AI Runtime Security shields your organization’s AI application ecosystem from AI-specific and conventional network attacks by leveraging real-time AI-powered security. This will provide you with continuous discovery of the AI network traffic on your containers and namespaces.