Entelligence
Cyber Security
August 29, 2025

The Recoupling of Cybersecurity Event and Scan Data

The Recoupling of Cybersecurity Event and Scan Data
# Cloud Security
# Palo Alto Networks
# Cortex Cloud

Leveraging AI to Normalize and Unify Insights for the SOC

Daniel Marcos
Daniel Marcos
The Recoupling of Cybersecurity Event and Scan Data

The Problem: Too Many Silos, Not Enough Context

Over the past decade, modular and distributed computing architectures have exploded. While this improved uptime and flexibility, it also created a serious side effect: security data fragmentation.
SAST, DAST, and other security scanners all produce valuable findings—but in different formats, with different priorities, and often in completely separate systems. For SOC teams, this fragmentation means:
  • Endless manual correlation
  • High volumes of false positives
  • Limited visibility into multi-vector attacks
In cybersecurity, modularity without integration equals blind spots.



The Solution: Recoupling Security Event Data

Instead of spreading signals across dozens of tools, recoupling brings them back together.
By aggregating and normalizing findings from across the toolchain, SOCs gain:
  • Unified visibility across attack surfaces
  • AI/ML-powered correlation of related threats
  • Automation-ready insights that reduce analyst workload
  • Faster, more accurate incident response
This shift isn’t just technical—it’s strategic. A recoupled approach enables SOCs to scale human expertise with machine intelligence.



Cortex Cloud’s Integrated Approach

Cortex Cloud operationalizes recoupling by:
Native Integrations: Direct ingestion from leading tools like Veracode, SonarQube, and Semgrep.
SARIF Support: Upload results in the Static Analysis Results Interchange Format from any compatible tool.
Normalization: All findings are parsed into a common schema for faster remediation and consistent reporting.
Configurable Workflows: Findings can be managed manually or escalated automatically based on policy.
This means teams can connect once, correlate everywhere.



How SARIF Integration Supercharges the SOC

Flexible Ingestion: Upload via UI for one-off analyses, or via API for automated CI/CD workflows.
Standardized Output: Normalize SARIF data into structured findings for easy comparison.
AI-Ready Context: Machine learning models then automate correlation, anomaly detection, and pattern recognition.
The result: a SOC that sees threats earlier, responds faster, and minimizes wasted effort.



Why This Matters for Security Leaders

For CISOs and SOC managers, the strategic impact of recoupling event data with Cortex Cloud is clear:
Operational Efficiency: Analysts spend less time wrangling data and more time resolving incidents.
Stronger Posture: Unified visibility means fewer blind spots and better coverage.
Future-Proofing: Open standards like SARIF ensure that as new tools emerge, integration remains seamless.
In other words, this isn’t just about keeping up with today’s threats—it’s about building the SOC of tomorrow.



The SOC of the Future

The SOC of the future won’t just monitor—it will predict, prioritize, and act.
Recoupling security data is the foundation for that vision, transforming scattered signals into a single corpus of intelligence where AI and machine learning can deliver their full potential. Cortex Cloud sits at the center of this shift, equipping organizations to stay resilient against evolving cyber threats.


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