Black Hat 2025: Crogl's CEO Monzy Merza Explains How AI Can Help Eliminate Alert Fatigue in Cybersecurity

Crogl CEO Monzy Merza discusses how AI-driven security platforms automate alert investigation using enterprise knowledge graphs, enabling analysts to focus on threat hunting while maintaining data privacy.

Security teams drowning in alerts finally have a lifeline that doesn't compromise their data sovereignty. At Black Hat USA 2025, Crogl CEO Monzy Merza revealed how his company is tackling one of cybersecurity's most persistent challenges: the overwhelming volume of security alerts that leaves analysts either ignoring potential threats or burning out from investigation fatigue.

The problem runs deeper than most organizations realize. Merza observed analysts routinely closing hundreds of alerts with a single click, not from laziness or malice, but from sheer necessity. "When you look at the history of breaches, the signal of the breach was there. And somebody ignored it," he explained during his ITSPmagazine interview, highlighting a critical gap between alert generation and meaningful investigation.

Traditional approaches have failed because they expect human analysts to become "unicorns" - experts capable of mastering multiple data platforms simultaneously while remembering complex query languages and schemas. This unrealistic expectation has created what Merza calls the "human unicorn challenge," where organizations struggle to find personnel who can effectively navigate their increasingly complex security infrastructure.

Crogl's solution fundamentally reimagines the relationship between human intuition and machine automation. Rather than forcing analysts to adapt to multiple tools, the platform creates a semantic knowledge graph that maps data relationships across an organization's entire security ecosystem. When alerts arrive, the system automatically conducts investigations using established kill chain methodologies, freeing analysts to focus on higher-value activities like threat hunting and strategic security initiatives.

The privacy-first architecture addresses growing concerns about data sovereignty. Operating as a completely self-contained system with no internet dependencies, Crogl can run air-gapped in the most sensitive environments, including defense intelligence communities. The platform connects to existing tools through APIs without requiring data movement, duplication, or transformation.

Real-world results demonstrate the platform's versatility. One customer discovered their analysts were using Crogl for fraud detection - an application never intended by the original design. The system's ability to process natural language descriptions and convert them into executable security processes has reduced response times from weeks to minutes for complex threat hunting operations.

For security leaders evaluating AI integration, Merza advocates an experimental approach. Rather than attempting comprehensive transformation, he suggests starting with focused pilot programs that address specific pain points. This measured strategy allows organizations to validate AI's value while maintaining operational stability.

The broader implications extend beyond security operations. By removing technical barriers and emphasizing domain expertise over tool competency, platforms like Crogl enable security teams to become strategic business enablers rather than reactive alert processors. Organizations gain the flexibility to maintain their preferred data architectures while ensuring comprehensive security coverage across distributed environments.

As cyber threats continue evolving, the industry's response must prioritize both technological capability and human potential. Solutions that enhance analyst intuition while automating routine tasks represent a sustainable path forward for security operations at scale.
 

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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