Crogl debuts its Knowledge Engine to combat cyber risk, also announces $25M recent funding

Crogl, the cybersecurity risk management company, is debuting its knowledge engine, empowering enterprises to dramatically scale their security operations while maintaining compliance and reducing operational risk.

"Reducing cyber risk is the highest priority for security teams, and the evidence of risk is buried in thousands of alerts. Filtering alerts is not the answer. Every alert should be analyzed. These alerts are increasing at double-digit rates as organizational complexity and organizational footprints increase. Security teams can't keep up,” said Crogl co-founder and CEO Monzy Merza. “Crogl is the only product that supports this scenario. Our product acts as an ‘Iron Man suit’ for security analysts, enabling teams to handle all security incidents at unprecedented scale while maintaining the highest standards of investigation and documentation."

Organizations, on average, are facing 4500 alerts per day, and an analyst can only investigate eight to 25 with automated security solutions leaving thousands unanalyzed daily, according to the company.

Crogl’s knowledge engine continuously learns the operational security processes of an organization and learns the data to investigate alerts with consistent, auditable actions. Unlike traditional security tools, it does not require schema normalization, coding, or playbook creation, delivering immediate value by executing thorough investigations and generating detailed documentation while allowing customers to maintain complete data sovereignty, the company said.

The engine’s industry-first capabilities include:

• Creation of a unified semantic layer of data schemas and execution of use cases across all tools and data
• Completely private and customer-managed to support airgapped, on-premises and cloud environments
• Automated auditable documentation that outlines every action and its purpose to ensure compliance and maintain institutional knowledge

Crogl also announced that it raised $25 million in Series A funding led by Menlo Ventures' Tim Tully who joined the board. Tola Capital's Sheila Gulati led the $5 million seed round. The company plans to use the new funding to continue to advance its knowledge engine for security operations.

"Crogl has assembled a world-class team of veteran AI and security leaders," said Tully. "Having lived these challenges firsthand, they know that today’s most challenging security threats—talent shortages and overwhelming alert volumes—demand a fundamentally different approach. Crogl’s knowledge engine is a true force multiplier—an AI system that doesn’t just automate, but learns, adapts and operates with the collective intelligence of an entire SOC. We believe this is the future of security operations."

For more information about this news, visit www.crogl.com.