Which security workflows can an AI SOC run without your data leaving your environment? This use case overview from Crogl, AI for Enterprise Security, answers that one workflow at a time. Crogl runs on-premises, in a private cloud, or fully air-gapped, and queries each source in its native format with no schema normalization.
- Alert triage: Crogl works the queue and closes each alert with a documented record, so analysts pick up escalations with the evidence already assembled.
- Endpoint investigation: it takes EDR alerts past the endpoint and correlates them with identity, network, and cloud telemetry.
- Phishing: it traces reported mail from delivery to credential entry to post-compromise activity, and finds other recipients of the campaign.
- Threat hunting: it builds hypotheses from advisories and intel, then hunts across your sources continuously.
- Cloud posture: it catches misconfiguration and drift and maps findings to CIS, SOC 2, and ISO 27001.
- Threat coverage: analysts ask in plain language instead of writing SPL or KQL.
The overview takes a closer look at vulnerability blast radius. Crogl pulls exploitation status and due dates from CISA’s KEV feed, then walks reachability from the vulnerable host to what it can actually touch, such as AD FS, a finance pipeline, or a backup relay. These workflows run in demanding environments. A major U.S. electric utility cut CRISP report analysis time by 95%. A Fortune 500 financial services institution runs cross-data-lake investigations in minutes instead of about an hour. Every action is documented in your ticketing system, and pricing stays predictable, with unlimited investigations. Download Crogl at crogl.com/download.
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