Check Your Blind Spot: 4 Agentic AI Security Risks with Prisma AIRS

What Are the Four Biggest Agentic AI Security Blind Spots?

Agentic AI introduces new cybersecurity challenges as organizations build and deploy autonomous AI agents using open-source models, third-party components, agent skills, and AI-generated code.

These interconnected systems expand the enterprise attack surface and introduce security risks that traditional security tools may not fully detect or prevent.

Prisma AIRS from Palo Alto Networks helps organizations discover, assess, and protect AI applications, models, agents, and data across the AI lifecycle.

Four critical agentic AI security blind spots include:

1. Malicious AI Model Weights and Supply Chain Risks
   Open-source and third-party AI models may contain malicious code, compromised model files, or hidden vulnerabilities. AI supply chain security helps organizations inspect model artifacts and dependencies before they reach production environments.
2. Shadow AI and Undiscovered Agents
   Organizations may lack visibility into unauthorized AI applications, models, and autonomous agents. Shadow AI discovery and AI inventory capabilities help security teams identify unmanaged AI assets and assess potential risks.
3. AI Agent Identity and Excessive Permissions
   Autonomous AI agents can interact with enterprise applications, access sensitive information, and execute business workflows. Weak identity controls and excessive permissions can expose organizations to unauthorized actions and data access.
4. Runtime Prompt Injection Attacks
   Attackers can embed malicious instructions in content processed by AI applications and agents, potentially manipulating their behavior, exposing sensitive data, or triggering unsafe actions.

How Does Prisma AIRS Address Agentic AI Security Risks?

Prisma AIRS provides a unified approach to enterprise AI security through AI supply chain protection, AI discovery, agent identity security, posture assessment, and runtime threat prevention.

By combining visibility, continuous risk assessment, and security policy enforcement, organizations can strengthen protection across the AI lifecycle, from development and deployment to live AI interactions.

Watch Check Your Blind Spot: 4 Agentic AI Security Risks with Prisma AIRS to explore how organizations can identify hidden AI vulnerabilities and secure agentic AI adoption.