Crogl is an enterprise security software company that applies agentic AI to security operations inside customer-managed environments. Its platform is built to autonomously investigate alerts, hunt threat advisories, and document every action without moving customer data outside the environment. Crogl supports on-premises, private-cloud, and fully air-gapped deployments, which makes it fit organizations with strict data sovereignty, privacy, and operational control requirements.
Crogl positions its offering around autonomous investigation rather than alert summarization. The platform combines a live knowledge graph, AI orchestration, large language models, and native tool integrations so it can reason across heterogeneous security data without schema normalization. Instead of forcing teams to rebuild workflows around a new system, Crogl is designed to work with the tools, data sources, and processes security teams already use.
Offerings, Capabilities, and Integrations
Crogl provides an AI-driven investigation layer for enterprise security teams. Its core capabilities center on gathering context across distributed data sources, executing investigations autonomously, correlating evidence across alerts and advisories, and producing complete audit-ready records for analyst review. The platform is model-agnostic, supports self-hosted inference, and can operate fully within regulated or disconnected environments.
Crogl integrates with existing security and operations stacks rather than requiring schema normalization or recoding before deployment. The company highlights connectivity across SIEM, EDR, ticketing, data lake, and cloud environments, with examples including Splunk, Microsoft Sentinel, CrowdStrike, ServiceNow, Jira, Databricks, Snowflake, Amazon S3, and Cribl. It also supports AI and cloud services such as AWS Bedrock and Azure AI, and includes built-in skills plus a skill builder so teams can extend workflows for their own environments.
Products and Services
- Crogl: Flagship agentic AI security platform that autonomously investigates alerts and threat advisories, reasons across customer data with a live knowledge graph, and returns fully documented findings inside the customer environment.
- Secure AI Deployment: AI governance and security offering that discovers models and agents, maps AI data flows and permissions, enforces runtime policies, and creates audit trails for AI activity.
- Audit Readiness: Solution that automatically documents investigations, captures full provenance for every action, and maps evidence to common compliance and audit frameworks.
- Team Upskilling: Offering that helps junior analysts work alongside Crogl, preserves institutional knowledge in investigation workflows, and improves consistency across shifts and team turnover.
- SIEM Migration: Migration-focused solution that abstracts detection and investigation logic from the underlying SIEM so organizations can change platforms without rebuilding playbooks or remapping schemas.
- Alert Triage: Use case for autonomously investigating routine and novel alerts across existing tools so analysts spend their time on decisions instead of repetitive data gathering.
- Threat Hunting: Continuous threat hunting capability that translates intelligence inputs into environment-specific hunts and delivers documented findings with correlated context.
- Endpoint Investigation: Cross-source endpoint investigation capability that correlates EDR alerts with SIEM, identity, cloud, and threat intelligence data to produce contextualized findings.
- Cloud Posture: Cloud security posture monitoring and investigation offering that continuously reviews cloud changes, investigates misconfigurations, and prioritizes remediation across multicloud environments.
- Phishing: Phishing investigation workflow that traces suspicious emails across identity, telemetry, and threat intelligence sources to assess clicks, compromise, and downstream impact.
- Security Advisory: Threat advisory analysis capability that evaluates CRISP, ISAC, vendor, and other advisory inputs against a customer’s actual infrastructure and delivers exposure assessments.
- Threat Coverage: Cross-environment investigation capability that queries SIEMs, data lakes, EDRs, cloud logs, and threat intelligence feeds in native formats to close coverage gaps.
- AI Agent Security: Runtime security capability for AI agents that monitors actions, enforces policies, investigates anomalies, and maintains complete audit trails for agent activity.
Target Customers
Crogl targets enterprise security operations teams that need to investigate large alert volumes across fragmented security stacks. Its platform is aimed at security analysts, threat hunters, incident responders, and security leaders who want autonomous investigation without replacing their existing SIEM, EDR, ticketing, or data platforms.
The company is especially relevant for organizations with strict deployment and data-handling requirements, including regulated industries, public sector and federal environments, critical infrastructure operators, and large financial institutions. It also fits hybrid and cloud-first enterprises that operate across AWS, Azure, and Google Cloud and need one investigation layer that can work across on-premises, private-cloud, and air-gapped environments while supporting audit and compliance teams.
Cloud Integrations and Marketplace
- Amazon Web Services: Crogl supports deployment inside customer AWS environments and monitors AWS as part of its cloud posture capabilities. The company also references integrations with Amazon S3 and AWS Bedrock.
- Microsoft Azure: Crogl supports deployment inside customer Azure environments and includes Azure in its cross-cloud posture monitoring. The company also references integrations with Microsoft Sentinel and Azure AI.
- Google Cloud: Crogl supports deployment inside customer GCP environments and includes Google Cloud in its multicloud posture monitoring and private-cloud deployment model.
Key People
- Monzy Merza: Founder & CEO
- David Dorsey: Co-founder & CTO
- Ryan Burke: VP Worldwide Sales
- Lipyeow Lim: Head of AI
- Tim Tully: Board Member
- Akshay Bhushan: Board Member
- Brad Lovering: Advisor
Key Facts
- Headquarters: Albuquerque, New Mexico, United States
- Employees: Approximately 36
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (privately held)
