Cybersecurity risk management startup Crogl Inc. today announced that it has raised $25 million in new funding and launched its knowledge engine that allows enterprises to scale their security operations while maintaining compliance and reducing operational risk.

Founded in 2023, Crogl offers cybersecurity risk management services that are dedicated to revolutionizing security operations through autonomous artificial intelligence solutions. The company offers an AI-powered security operations center analyst that operates across on-premises and cloud environments to deliver real-time threat detection and response without the need for manual coding or predefined playbooks.

Crogl’s platform autonomously triages and investigates security alerts, enhancing threat coverage and reducing operational risks. The platform learns from an organization’s unique processes and data to ensure consistent, auditable actions that support compliance and maintain institutional knowledge.

The company’s solutions integrate with existing security tools and data sources, adapting to both cloud and on-premises environments to ensure that organizations can maintain their current infrastructure while benefiting from advanced, autonomous threat detection and response capabilities.

Knowledge engine

Crogl’s new knowledge engine, announced today, is designed to help enterprises manage growing volumes of security alerts while maintaining compliance and reducing operational risk. The engine continuously learns an organization’s security processes and data, enabling consistent, auditable investigations across fragmented tools and environments without the need for coding, playbooks or schema normalization.

The knowledge engine creates a unified semantic layer that connects diverse data sets and security tools, allowing teams to execute use cases across their entire infrastructure. The knowledge engine differs from traditional software-as-a-service solutions by being fully private and customer-managed, supporting air-gapped, on-premises and cloud environments to give organizations complete control over their risk posture, according to the company.

The engine also helps security teams handle every alert at scale while preserving institutional knowledge by automating thorough investigations and generating detailed documentation. The results allow junior analysts to manage complex workflows, freeing up senior analysts to focus on strategic initiatives and advanced threat detection.

The Series A funding round came from Menlo Ventures LP and will be used to further develop Crogl’s knowledge engine and advance 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,” said Tim Tully, partner at Menlo Ventures. “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.”

Image: Crogl