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        The Engine Room: Securing Enterprise AI Agents with Prisma AIRS

        Nov 09, 2026
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        How Can Organizations Secure AI Agents in the Enterprise?

        Enterprise AI agents introduce new cybersecurity challenges because they can autonomously access systems, retrieve sensitive information, interact with external tools, and execute actions across business workflows.

        Unlike traditional applications, AI agents can make decisions based on dynamic inputs, creating security risks such as prompt injection, excessive permissions, unauthorized tool execution, and sensitive data exposure.

        Prisma AIRS from Palo Alto Networks helps organizations strengthen AI agent security through discovery, risk assessment, and runtime protection.

        Key capabilities include:

        • AI agent discovery: Identify AI agents operating across enterprise environments and understand their associated resources, connections, and capabilities.
        • AI agent risk assessment: Evaluate security risks related to agent identities, permissions, configurations, and potential behavior.
        • Prompt injection protection: Detect and prevent malicious instructions designed to manipulate agent behavior.
        • AI runtime security: Apply real-time security policies to identify and block risky interactions and unauthorized actions.
        • AI agent governance: Support visibility, accountability, and consistent security controls across agentic AI environments.

        Why Is Runtime Security Important for AI Agents?

        AI agents can execute actions without requiring direct human approval for every step. This creates security risks when agents encounter manipulated inputs, compromised tools, or excessive access permissions.

        Runtime protection helps organizations evaluate AI interactions as they occur and enforce security policies before potentially harmful actions take place.

        Watch The Engine Room: Securing Enterprise AI Agents with Prisma AIRS to explore how organizations can strengthen AI agent security and support safer enterprise adoption of autonomous AI technologies.

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