Highlights:

  • Crogl’s platform autonomously triages and investigates security alerts, improving threat coverage while reducing operational risks.
  • The knowledge engine allows teams to execute use cases across their entire infrastructure by creating a unified semantic layer that links diverse data sets and security tools.

Cybersecurity risk management startup Crogl Inc. raised USD 25 million and launched a knowledge engine that enables businesses to scale security tasks while coordinating compliance and curbing operational risks.

Founded in 2023, Crogl specializes in cybersecurity risk management, aiming to transform security operations through autonomous artificial intelligence solutions. Its AI-driven security operations center analyst operates across both on-premises and cloud environments, providing real-time threat detection and response without requiring manual coding or predefined playbooks.

Crogl’s platform autonomously triages and investigates security alerts, improving threat coverage while reducing operational risks. By learning from an organization’s unique processes and data, it ensures consistent, auditable actions that support compliance and preserve institutional knowledge.

Designed for seamless integration, Crogl’s solutions work with existing security tools and data sources, adapting to both cloud and on-premises infrastructures to deliver advanced, autonomous threat detection and response without disrupting current systems.

Crogl announced recently the launch of its new knowledge engine, designed to help enterprises manage increasing volumes of security alerts while ensuring compliance and reducing operational risk. Continuously learning an organization’s security processes and data, the engine enables consistent, auditable investigations across disparate tools and environments—without requiring coding, playbooks, or schema normalization.

The knowledge engine allows teams to execute use cases across their entire infrastructure by creating a unified semantic layer that links diverse data sets and security tools. Unlike traditional software-as-a-service solutions, it is fully private and customer-managed, supporting air-gapped, on-premises, and cloud environments to give organizations complete control over their risk posture.

The engine also enhances security operations by automating thorough investigations and generating detailed documentation, ensuring that every alert is handled at scale while preserving institutional knowledge. This enables junior analysts to manage complex workflows, freeing senior analysts to focus on strategic initiatives and advanced threat detection.

Crogl’s Series A funding round, led by Menlo Ventures LP, will be used to further enhance the knowledge engine and expand its capabilities for scaling security operations.

“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,” said Tim Tully, partner at Menlo Ventures.