Palo Alto Networks is moving quickly to strengthen its position in AI security after completing its acquisition of CyberArk in February 2026. The company has begun integrating CyberArk’s privileged access management technology into its Cortex and Strata platforms, a move designed to improve identity verification and access control for the rapidly growing world of AI agents.
As businesses adopt artificial intelligence across security operations, cloud environments, customer service, software development, and internal automation, one major concern continues to rise: how to verify what an AI agent is allowed to do. AI agents can perform tasks, access systems, trigger workflows, and interact with sensitive data. Without strong identity controls, these tools can create new security risks at machine speed.
That is where CyberArk’s privileged access management capabilities become especially important. By bringing CyberArk technology into Cortex and Strata, Palo Alto Networks aims to help organizations manage and secure the identities of not only human users, but also AI-driven systems, applications, services, and autonomous agents.
The integration is expected to give enterprises stronger control over privileged access, helping security teams determine which AI agents can access specific resources, when they can access them, and under what conditions. This can reduce the risk of unauthorized activity, compromised credentials, and excessive permissions across modern digital environments.
Cortex, Palo Alto Networks’ security operations platform, is already focused on threat detection, automation, and response. Adding privileged access and identity verification tools could make it more effective in detecting suspicious activity tied to AI agents and non-human identities. If an AI agent behaves in an unexpected way or attempts to access systems beyond its approved permissions, security teams may be able to identify and respond to the issue more quickly.
Strata, the company’s network security platform, is also set to benefit from the CyberArk integration. As organizations connect more users, devices, workloads, and AI systems across hybrid and cloud networks, identity-based security becomes increasingly essential. Strengthening identity verification within Strata could help companies enforce more precise access policies and improve protection across distributed environments.
Palo Alto Networks is also expanding its AI security ecosystem through integrations involving Koi and Portkey. These additions point to a broader strategy focused on securing AI usage from multiple angles, including access management, agent identity, workflow protection, and enterprise-grade governance.
The timing is significant. Many companies are racing to deploy AI agents, but security frameworks have not always kept pace. Traditional access controls were built mainly for employees, administrators, devices, and applications. AI agents introduce a more complex challenge because they can act independently, make decisions, and interact with multiple systems in real time.
By combining CyberArk’s privileged access management strengths with its existing security platforms, Palo Alto Networks is positioning itself to address one of the most urgent cybersecurity questions of the AI era: how can companies trust and control autonomous digital identities?
For enterprises, the value of this approach is clear. Stronger AI identity verification can help reduce security blind spots, improve compliance, protect sensitive data, and prevent privilege misuse. As AI adoption grows, organizations will need security tools that can monitor both human and machine activity with the same level of precision.
Palo Alto Networks’ latest moves suggest that AI security is no longer just about detecting malicious prompts or protecting large language models. It is also about managing the identities, permissions, and actions of the AI agents operating inside business environments.
With CyberArk now part of its portfolio and new AI-focused integrations underway, Palo Alto Networks is aiming to become a central player in securing the next generation of enterprise automation. For businesses preparing for wider AI deployment, identity-first security may soon become one of the most important foundations for safe and scalable AI adoption.
