Cortex Cloud: the new AI-driven link in the “code-to-cloud-to-SOC” security chain

At Palo Alto Networks’ EMEA Tech Summit, one message stood out clearly: the future of cybersecurity will rely on unified, AI-native architectures rather than isolated tools. Cortex Cloud is positioned as a central element of this transformation — not just a cloud security platform, but a key component of an autonomous SOC.

Why cloud security needed a new model

Today’s cloud protection landscape is fragmented. CSPM, CWPP and CIEM each monitor their own domains, but none of them view the complete attack chain. Palo Alto’s vision highlights the end of this fragmented model and the rise of a unified, AI-driven approach where all data and decisions are connected.

The “code-to-cloud-to-SOC” chain

Cortex Cloud integrates development-time security, cloud-runtime protection and SOC operations into a single flow:

1. Security begins in development

AI detects code vulnerabilities, flags configuration errors during build, and monitors the CI/CD pipeline — stopping weaknesses before they reach the cloud.

2. Real-time protection in the cloud

The platform continuously analyzes configurations, permissions, workloads, and anomalies. All relevant events are immediately routed to XSIAM, the AI-powered SOC.

3. Automatic SOC feedback into the cloud

If XSIAM identifies malicious patterns, it can automatically adjust cloud rules, isolate workloads, limit identities, or launch remediation — turning SOC into an active controller rather than a passive recipient of alerts.

Predictive and autonomous protection

Instead of relying solely on CVE scores, Cortex Cloud evaluates which vulnerabilities pose real risk in a specific environment, considering access paths, permissions, and attack chains.
Its built-in AI agents can also correct misconfigurations, manage permission drift, end risky sessions, and repair unsafe settings without human intervention.

Agentic AI in the cloud: self-correcting errors

Cortex Cloud’s built-in AI agents don’t just flag problems — they fix them. They can correct misconfigurations, adjust permissions, and shut down risky activity automatically, bringing autonomous response directly into the cloud and reducing the need for manual intervention.

What this means for EURO ONE customers

The direction highlighted at the Summit aligns with EURO ONE InfoSec’s goals: faster, more accurate, and more automated SOC operations driven by standardized data and autonomous decision-making.
The “code-to-cloud-to-SOC” model brings cloud security and SOC workflows into a single logical unit where AI accelerates decisions and human experts can focus on strategy.

For customers, this means quicker responses, fewer false alarms, and a more mature security posture — all achieved through gradual, business-friendly evolution of existing environments.

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