AI for Enterprise Security. Sovereign and Auditable.

Public sector security teams work under constraints that most tools were never designed to respect. Data cannot leave the boundary. Every deployment has to survive an audit. Budgets and headcount rarely stretch to match the alert volume arriving in the queue each day. Regulated commercial teams in finance and healthcare face the same math under a different set of auditors.

Crogl was built for those constraints. Crogl is an AI SOC agent that investigates every alert and runs proactive threat hunts inside your environment, whether that environment is air-gapped, on-premises, in a government cloud, or in your own private cloud. It works where the data lives, so nothing has to be normalized, copied, or shipped to a vendor tenant before it can be understood. Analysts get a documented investigation on every alert. The analyst still makes the call.

Four things set Crogl apart. First, sovereign by design: self-hosted, air-gapped ready, with no dependency on an outside cloud or a shared control plane. Second, deterministic reasoning: every investigation follows an inspectable, repeatable path, so an auditor can trace how Crogl reached a conclusion. Third, an extensible architecture: hundreds of connectors, thousands of skills, and support for multiple models, including open-weight models you host yourself. Fourth, predictable pricing with unlimited investigations, priced by team, so investigation volume never carries a per-alert penalty.

Teams ask why they need Crogl when they already have skilled analysts and existing tooling. The answer is governance, extensibility, and operations at scale. Crogl provides product security, role-based access control, token and authentication management, and API-level control that meet public sector requirements. Its extensibility framework makes building connectors and reaching new tools a routine task rather than a project. Its operations layer manages thousands of skills, hundreds of connectors, many users, multi-model routing, cost and consistency controls, testing, and tracking.

Cloud-based AI SOC tools send your data to a vendor tenant for processing. Crogl runs entirely inside your environment, on your choice of models, and prices by team rather than by alert or by user. That is the difference between adopting AI on a vendor's terms and adopting it on your own.

The results hold up in the field. A regulated public energy utility serving more than 500,000 customers runs a lean SOC. With Crogl, it cut analyst time per alert by 75 percent and tripled investigation throughput. The deployment is air-gapped, runs open-weight models, and integrates with Microsoft Sentinel, CrowdStrike, and Nozomi Networks. At Department of War scale, Crogl runs air-gapped and classified, investigating 60,000 alerts per month across 100TB, three SIEMs, and two SOARs. The same product serves regulated commercial teams. A Fortune 100 financial institution with more than $40 trillion in client assets under custody cut analyst triage time by more than 70 percent, with automated triage into ServiceNow. Across deployments, investigations run up to 10 times faster and threat hunts up to 15 times faster, from days to minutes. Crogl is auditable, repeatable, and inspectable. It is built for the hardest security environments, and it is available as a free download.