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    Crogl - AI for Enterprise Security (AMI)

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    Sold by: Crogl 
    Deployed on AWS
    Crogl is AI for enterprise security. It investigates across your existing tools and documents the work so your analysts can review the evidence and make the call. Deploy in your AWS account with Free for a single user, or choose Enterprise for your team under a paid annual agreement.

    Overview

    Crogl investigates across your existing security stack. It gathers context, queries your tools, and follows the evidence across alerts and threat advisories. Your analysts can review each step, change direction, and decide what happens next.

    Every investigation leaves a record. Crogl documents the queries, evidence, and findings in the platform and can record the work in your ticketing or case management system. Your team receives an investigation it can review, share, and use to make a decision.

    Your data stays in the systems you already use. Crogl queries your SIEM, EDR, identity, cloud, data lake, and threat intelligence sources in their native formats, without schema normalization. You can build connectors and skills for your own tools and workflows.

    This AMI runs on Amazon EC2 in your AWS account. You control the deployment and its connections to your tools and model services. For other deployment options, including on-premises and air-gapped environments, contact Crogl.

    Free is for one user and remains free. It includes all connectors, unlimited skills and audit trails, username and password access, and community support. Free and Enterprise use the same core platform; the plan determines the features and access available.

    Enterprise is for SOC teams running Crogl around the clock. The paid annual plan includes unlimited users and investigations, autonomous investigations and threat hunting, single sign-on, role-based access control, audit log export, use of your enterprise LLM service, and dedicated support with agreed service levels. Pricing is custom and team based, with no per-alert, per-investigation, or per-user fees.

    For Enterprise pricing, select Request private offer on the Crogl - AI for Enterprise Security solution linked under Resources. The solution includes this AMI and Annual Production Support; software licensing and support are specified in your Enterprise agreement. AWS infrastructure and separately contracted model services are additional costs.

    Highlights

    • Follow the evidence. Crogl investigates across your existing security tools and documents the queries, findings, and conclusions. Your analysts review the work and make the call.
    • Work with the tools you have. Crogl queries your data in its native format, without schema normalization. Run it in your AWS account and build connectors and skills for your own environment.
    • Start with Free for one user. Choose Enterprise for team access, autonomous operations, and dedicated support under a paid annual agreement. Request Enterprise pricing through the Crogl multi-product solution. decision-making rather than data retrieval.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24

    Deployed on AWS
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    Pricing

    Crogl - AI for Enterprise Security (AMI)

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    AI Insights

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    Dimensions summary

    You install this software from a machine image on your own AWS instance, and the software itself carries no license charge. Pricing here reflects your choice of EC2 instance size, billed per hour of runtime. You pick from five instance types across two families and two sizes within each. Larger instances give more compute for heavier workloads, while the burstable option suits lighter or variable use. You pay only for the hours each instance runs. Your total cost depends on which instance you select and how long you keep it running.

    Top-of-mind questions for buyers

    The software itself carries no license charge, so no software fee applies. AWS meters the instance by hour of runtime, so a stopped instance stops accruing hourly compute charges. Underlying storage attached to a stopped instance may still incur AWS fees, but running time drives the compute cost.
    You pay only the hourly rate for the EC2 instance running the machine image. Charges reflect the instance size you select and the hours it runs. There are no per-alert, per-investigation, or per-user software fees, so investigating more alerts does not raise the bill.
    You pick from two instance families, each in two sizes, plus one burstable option. The larger size in each family gives more compute for heavier workloads. The burstable option suits lighter or variable use. All five bill per hour of runtime, so your choice sets the hourly rate.
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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    2.9.0 Crogl 2.9.0 shows you the subagents working on your question, filters the Jobs and Runs lists by who owns a job, and lets Crogl research an API before it writes a connector for it. It also repairs signing in after a session expires, and makes starting Crogl on a slow host both reliable and quiet.

    What is New See the Subagents Working on Your Question Filter Jobs and Runs by Who Owns Them Let Crogl Research an API Before It Writes the Connector

    Bug Fixes Signing in again after a session expired while you were away no longer requires clearing the browsers stored data by hand. A session that ran out with no chance to renew could leave Crogl unable to reach its own login page, which read as a broken deployment rather than an expired session. Starting Crogl on a slow host no longer fails before the server is ready: crogl.sh up waits up to five minutes for the server to answer. An install that supplies local administrator credentials could previously give up after 30 seconds while Crogl carried on starting, finish without creating that administrator, and leave every later sign-in failing with the same generic error as a wrong password. A server that exits instead of starting is reported straight away, with the end of its startup output, rather than after the rest of that wait. An install is no longer buried in harmless warnings from Crogl and the tools it runs. Errors still appear, as do the warnings worth acting on such as a signature, certificate, or permission problem, and --verbose shows all of it. Starting a local installation preserves the bootstrap secrets that unlock your existing database, including when its configuration is regenerated. Keep the database and its matching bootstrap files together.

    Additional details

    Usage instructions

    Retrieve Initial Credentials: After the first boot completes, Crogl writes a one-time credentials file containing the admin password and the startup key. SSH into the instance to retrieve them:

    ssh -i your-key.pem ubuntu@<public-ip> sudo cat /root/installation-artifacts.txt

    Access the Crogl UI: Open https://<public-ip-or-dns>:4043 in your browser. Accept the self-signed certificate warning (or install a CA-signed certificate). Log in with the admin username and password retrieved from the installation-artifacts.txt file. On initial login, the Crogl UI will guide you through configuring an LLM provider and at least one connector. Have your LLM API key and connector credentials ready before proceeding.

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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