From Data Overload to Decision Confidence: Solving the Analyst’s Dilemma
Security operations centers are drowning in data. Every new sensor, cloud service, and compliance system adds more telemetry, more alerts, and more schema variations. To cope, most organizations invest heavily in normalization—aggregating everything into a single data model before analysis. It’s an idea that worked on paper but fails in practice.
The Challenge
Data normalization assumes stability. In reality, nothing in enterprise environments is stable. Logs change formats, APIs evolve, and tools are replaced. Each shift breaks integrations and playbooks, leaving analysts to patch systems instead of pursuing threats. Teams spend millions maintaining these fragile pipelines while attackers exploit the growing gaps between tools, contexts, and human understanding.
Meanwhile, analysts are expected to do everything: write queries, interpret logs across multiple systems, and decide which alerts matter. Under constant time pressure, they often resort to closing batches of alerts without full investigation. It’s not negligence—it’s survival. The result is missed incidents, burnout, and a widening trust gap between the SOC and the business.
The Approach
Crogl eliminates the dependency on normalization by analyzing data where it lives. It connects to existing data lakes, case management systems, and security tools without requiring schema alignment. Instead of forcing data to conform, Crogl adapts to each data source dynamically.
Using AI-driven automation, the platform investigates every alert across multiple phases of the attack chain. It composes and executes context-specific queries across SIEM platforms such as Splunk or Elastic, as well as EDR and SOAR systems, showing each step transparently so teams can audit and trust the process.
Each analyst interaction trains the system—when one analyst adjusts or enriches an investigation, that knowledge propagates to the rest of the team automatically. This creates a self-improving cycle that continuously enhances depth, accuracy, and consistency without human rework.
The Outcome
For analysts, this means less noise and more time for meaningful investigation. They gain confidence in results they can validate and explain. For SOC managers, it means consistent processes and provable governance without enforcing rigid playbooks. And for CISOs, it delivers measurable efficiency and assurance that no alert is ignored—without forcing another data migration.
The vision is simple but transformative: make every analyst as capable as the entire team. By removing the barriers created by normalization, organizations reclaim control over their data, their workflows, and their time. Crogl turns fragmented information into actionable intelligence—without asking teams to change how they work.
Learn more about CROGL: https://itspm.ag/crogl-103909
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GUEST: Monzy Merza, Founder and CEO of CROGL | On LinkedIn: https://www.linkedin.com/in/monzymerza/
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