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# Why Your AI Agent Needs a Performance Review

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By [Charles Choe](https://www.paloaltonetworks.com/blog/author/charles-choe/?ts=markdown "Posts by Charles Choe") and [Prasidh Srikanth](https://www.paloaltonetworks.com/blog/author/prasidh-srikanth/?ts=markdown "Posts by Prasidh Srikanth")  
Aug 13, 2025  
4 minutes  
[AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown)  
[Use-Cases](https://www.paloaltonetworks.com/blog/sase/category/use-cases/?ts=markdown)  
[AI](https://www.paloaltonetworks.com/blog/tag/ai/?ts=markdown)  
[AI Agents](https://www.paloaltonetworks.com/blog/tag/ai-agents/?ts=markdown)  
[Secure AI](https://www.paloaltonetworks.com/blog/tag/secure-ai/?ts=markdown)

![](https://www.paloaltonetworks.com/blog/wp-content/uploads/2025/08/AI-Agent-Image-scaled.jpeg)

We've all seen the headlines about AI. The breakthroughs, the staggering investments, the promise of a future where work is more productive, insightful, and... well, easier. But amidst the hype, a new, more subtle kind of risk is emerging. It's not about a malicious hacker or a sophisticated exploit. It's about your well-meaning AI agent quietly doing what it's told, with consequences that are anything but quiet.

Think of it this way: You have a new junior cloud systems engineer. They're brilliant, eager to please, and they have root access to your cloud environment. One day you ask them to "clean up some of the old stuff in the dev environment." A week later, you realize that your new employee, with all the eagerness of a recent graduate with unfettered power, has wiped out hundreds of cloud resources. It wasn't malicious. It wasn't a mistake in the traditional sense. It was just a complete and utter lack of context, guardrails and supervision.

# The AI Prompt Is the New Exploit

This is the new normal for a world rapidly adopting powerful AI agents, assistants and copilots. We're moving from a security model focused on code and infrastructure to one that must account for something far more nebulous: *intent*. The AI interface and user prompts are a new exploit, and the most dangerous command is a simple, natural-language request that an overprivileged agent misconstrues.

So, how do we secure a user who isn't really a user?

For years, security strategies have centered around managing *tools* ---deploying them, configuring them, and monitoring their output. But an AI agent is more than just a tool; it behaves like a new kind of *user*. It holds credentials, takes actions, interacts with other agents, and directly accesses your most critical systems. Like any human employee, it requires clear boundaries.

As businesses race to integrate AI agents for greater efficiency, we're seeing an explosion of interconnected apps and systems that have created the perfect risk for overprivileged AI agents. When a single agent has access to your most sensitive data, business-critical applications and cloud infrastructure, even a well-intentioned but flawed command can ripple across your digital ecosystem.

# The Unseen Perils of AI Agents

The core issue is that security models haven't caught up. We're deploying these powerful agents without the same level of scrutiny we would apply to a new hire. We forget to check their background (the training data), give them a tour (contextual understanding), and set up proper supervision (runtime enforcement). This leads to cascading consequences where simple actions can have disastrous, far-reaching impact that can go unnoticed for days.

At Palo Alto Networks, we believe the solution is to stop treating AI agents as mere tools and start treating them as what they are: highly capable, high-trust digital employees. Just as you would for a new hire, you need to implement a strategy that includes:

* **Scoped Credentials:** Your AI agent doesn't need root access to the entire cloud. They need *just-in-time access* to a specific project with a clearly defined scope.
* **Runtime Enforcement:** You need a supervisor watching over the employee's shoulder, not in a micromanaging way, but to ensure they don't do something irreversible. This means real-time monitoring of their actions to prevent them from executing commands outside of their defined purpose.
* **Audit Memory:** Every action your AI agent takes needs to be logged and audited. When something goes wrong, you need a clear paper trail to understand what happened and prevent it from happening again.

# Secure Your "Digital" Workforce

The era of AI is here, and it's bringing with it an unprecedented wave of innovation. But with great power comes great responsibility, and the responsibility of the modern CxO is to ensure that this new wave of innovation doesn't quietly create the next security disaster. By embracing a new, identity-centric security mindset and applying the principles we've always used for our human employees---least privilege, runtime control and clear audit trails---we can unlock the true potential of AI without the fear of a friendly AI agent accidentally bringing down the house.

Palo Alto Networks is helping enterprises stay ahead of emerging AI risk ensuring secure, compliant collaboration across your digital workforce. Don't let AI agents put your organization at risk. Dive into "[The State of Generative AI 2025](https://www.paloaltonetworks.com/resources/research/state-of-genai-2025)" report to understand the evolving AI risk landscape and learn how to build a robust security strategy that keeps pace with AI.

*** ** * ** ***

## Related Blogs

### [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown)

[#### Red Teaming Your AI Before Attackers Do](https://www2.paloaltonetworks.com/blog/network-security/red-teaming-your-ai-before-attackers-do/)

### [AI Governance](https://www.paloaltonetworks.com/blog/category/ai-governance/?ts=markdown), [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown), [Announcement](https://www.paloaltonetworks.com/blog/category/announcement/?ts=markdown), [Government](https://www.paloaltonetworks.com/blog/category/government/?ts=markdown), [Points of View](https://www.paloaltonetworks.com/blog/category/points-of-view/?ts=markdown), [Public Sector](https://www.paloaltonetworks.com/blog/category/public-sector/?ts=markdown)

[#### A Secure Vision for Our AI-Driven Future](https://www2.paloaltonetworks.com/blog/2025/07/secure-vision-ai-driven-future/)

### [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown)

[#### Palo Alto Networks \& OWASP Collaborate to Secure AI Agents](https://www2.paloaltonetworks.com/blog/network-security/palo-alto-networks-owasp-collaborate-to-secure-ai-agents/)

### [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown), [Products and Services](https://www.paloaltonetworks.com/blog/category/products-and-services/?ts=markdown)

[#### Secure AI Agents by Design with AI Runtime Security](https://www2.paloaltonetworks.com/blog/network-security/secure-ai-agents-by-design-ai-runtime-security/)

### [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown), [Use-Cases](https://www.paloaltonetworks.com/blog/sase/category/use-cases/?ts=markdown)

[#### The Future of AI Security: Three Trends Every Executive Should Watch](https://www2.paloaltonetworks.com/blog/sase/the-future-of-ai-security-three-trends-every-executive-should-watch/)

### [AI and Cybersecurity](https://www.paloaltonetworks.com/blog/security-operations/category/ai-and-cybersecurity/?ts=markdown), [AI Application Security](https://www.paloaltonetworks.com/blog/network-security/category/ai-application-security/?ts=markdown), [AI Governance](https://www.paloaltonetworks.com/blog/category/ai-governance/?ts=markdown), [AI Security](https://www.paloaltonetworks.com/blog/category/ai-security/?ts=markdown)

[#### OpenClaw (formerly Moltbot, Clawdbot) May Signal the Next AI Security Crisis](https://www2.paloaltonetworks.com/blog/network-security/why-moltbot-may-signal-ai-crisis/)

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