Crogl Raises $30M to Build Autonomous Security Operations Platform

Crogl, the autonomous AI platform for security operations, today announced a $25 million Series A funding round led by Menlo Ventures, bringing total funding to $30 million. The company simultaneously launches its platform for enterprise security operations teams.

The Series A follows a $5 million seed round co-led by Tola Capital and Firestreak Ventures, with participation from S3 Ventures and AV8 Ventures.

Crogl's platform deploys autonomous AI agents that conduct end-to-end security investigations — from alert triage to threat hunting to compliance documentation — without playbooks, schema normalization, or data leaving the customer's environment. The platform's patented knowledge graph technology enables agents to reason across heterogeneous security data sources, translating analyst intent into precise queries tailored to each tool in the customer's stack.

"Security operations teams are drowning in alerts they can't investigate and threats they can't hunt," said Monzy Merza, Founder and CEO of Crogl. "We built Crogl because we've lived this problem. Our agents don't replace analysts — they elevate them, turning every analyst into the equivalent of your entire team operating at its best."

Tim Tully, Partner at Menlo Ventures and former CTO of Splunk, will join Crogl's board of directors. "Crogl's approach to autonomous security operations is fundamentally different from anything I've seen in the market," said Tully. "The knowledge graph architecture, the on-premises deployment model, and the no-playbook investigation methodology represent a genuine leap forward for SOC teams."

The platform is available for enterprise deployment immediately, with on-premises, private cloud, and air-gapped deployment options. All deployment modes deliver full platform capability with no reduced-feature limitations.