Cortex Cloud – the new hub of the AI-driven "code-to-cloud-to-SOC" security chain

At this year's EMEA Tech Summit hosted by Palo Alto Networks, it became clear that the security architecture of the future will not be built from separate devices, but from an AI-native, unified protection chain that accompanies applications and data from development through the cloud to the SOC.
Cortex Cloud plays a central role in this system, which the manufacturer presented not simply as a cloud security platform, but as one of the pillars of a modern autonomous SOC.

The essence of this change in approach is that protection does not begin where the attack occurs, but where the code is created. And it does not end where the alarm is triggered, but where AI already makes decisions and acts independently.

Why was a new approach to cloud security needed?

The cloud security market today is characterized by several categories, all of which are important but operate separately:

• CSPM (Cloud Security Posture Management) – checks the correctness of cloud configurations.
• CWPP (Cloud Workload Protection Platform) – protects running workloads (VM, container, Kubernetes).
• CIEM (Cloud Infrastructure Entitlement Management) – manages identity and entitlement risks.

Although these are valuable tools, the problem remains the same:
each one only sees its own sub-area, but none of them sees the entire attack chain.

One of the strongest messages from the Summit was that the era of fragmented cloud security is over—the future lies in a unified, AI-driven model where all data and decisions are stored in one place.

The "code-to-cloud-to-SOC" model: a single chain from start to finish

Cortex Cloud doesn't just bring together development and cloud security tools, it connects them with autonomous SOC operations.

The three pillars of the model are:

1. Security right from the development stage

The system is capable of:

• immediately detect code-level vulnerabilities,
• report configuration errors during build time,
• keep the entire CI/CD chain under security control.

This can be understood as an "AI code review" that prevents vulnerable elements from entering the cloud.

2. Real-time protection in the cloud

In the runtime environment, Cortex Cloud continuously analyzes:

• configuration status,
• permissions,
• container and workload behavior,
• network and identity-based anomalies.

It immediately forwards all relevant events detected in the cloud to XSIAM, the AI-driven SOC, where Agentic AI can make instant decisions.

3. Automatic transition to SOC – and back to the cloud

According to Palo Alto's new approach, SOC not only "consumes" cloud data, but also feeds back into the environment.
If the AI agent in XSIAM recognizes an attack pattern:

• modify cloud rules,
• restrict identities,
• isolate a workload,
• launch an automatic repair process.

In other words, SOC is not a separate endpoint: it becomes the active controller of the entire cloud operation.

Predictive vulnerability management: it doesn't look at what's wrong — it looks at what will happen

Traditional vulnerability management is ranked based on CVE (Common Vulnerabilities and Exposures) scores.
One of the key points of the Summit highlighted the limitations of this approach.

Cortex Cloud, however, takes a different approach:

Cortex Cloud not only monitors how serious a vulnerability is on paper, but also how much risk it actually poses in your specific cloud environment.

This means that:

• takes into account access routes,
• authorization relationships,
• the actual operation of workloads,
• and how a vulnerability relates to a potential attack chain.

The prioritization engine thus predicts which errors could lead to actual compromise — even as early as the next day.

Agentic AI in the cloud: self-correcting errors

According to Palo Alto, cloud security in the future will not produce reports, but will take action.
Accordingly, Cortex Cloud has its own AI agents that are capable of:

• fix a faulty cloud configuration,
• manage permission drift,
• shut down risky sessions,
• automatically correct unsafe settings.

The autonomous operation seen in SOC is thus directly visible in the cloud.

What does this mean for EURO ONE customers?

The goal of AI developments in EURO ONE InfoSec's division is to make SOC operations faster, more accurate, and more efficient.
Based on the messages from the Summit, it is clear that the industry is moving in the same direction:

• data standardization,
• automated decision-making,
• and autonomous response.

Cortex Cloud and the "code-to-cloud-to-SOC" model reinforce the idea that the SOC of the future will not consist of separate devices, but rather a single logical unit where:

• cloud security and SOC come together,
• AI accelerates decision-making,
• people can focus on strategic issues.

This approach means faster response times, fewer false alarms, and a higher level of security maturity for our customers—all while allowing the existing environment to evolve in a gradual, business-controlled manner.