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    Crogl - AI for Enterprise Security (AMI)

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    Sold by: Crogl 
    Deployed on AWS
    Crogl is AI for the enterprise SOC. It investigates every alert and threat advisory using the tools and data already in your SOC, in their native formats, without schema normalization. Free for one user. Enterprise for your team under a paid annual agreement.

    Overview

    Crogl is AI for the enterprise SOC. It investigates every alert. It documents every action. Your analysts review the evidence and make the call.

    Free and Enterprise

    This AMI carries no software license charge. Free is for one user and remains free. It includes all connectors, unlimited skills, unlimited audit trails, username and password access, and direct access to Crogl engineers in the community Slack. You bring your own LLM provider credentials, and your model provider bills that usage. Enterprise is for SOC teams running Crogl around the clock. The paid annual plan adds unlimited users and investigations, autonomous investigation and threat hunting, single sign-on, role-based access control, and audit log export. It also covers use of your enterprise LLM service and dedicated support with agreed service levels. Pricing is custom and team based. No per-alert, per-investigation, or per-user fees. Free and Enterprise run the same core platform. The plan determines the features and access available to your team.

    What an investigation looks like

    An alert lands. Crogl pulls the host and identity context, queries your EDR for process lineage, and checks the authentication record. It pivots to your data lake for anything the SIEM did not retain, then reads the relevant threat advisory. It writes down every query it ran and every result it got back. Your analyst opens the investigation, sees the reasoning, redirects it, and decides what happens next. Crogl handles the investigation. The analyst makes the call. Crogl records the work in your ticketing or case management system. Auditable, repeatable, inspectable. Every investigation is an artifact you can hand to an auditor, a regulator, or your board.

    Works where the data lives

    Crogl queries your SIEM, EDR, identity, cloud, data lake, ticketing, and threat intelligence sources in their native formats, without schema normalization. There is no pipeline to build and no index to populate first. You can build connectors and skills for your own tools and workflows. You bring your own model. Crogl runs against the LLM service you choose and host, including models that stay inside an air-gapped boundary.

    Deployment

    This AMI runs on Amazon EC2 in your AWS account. You control the deployment, its connections to your tools, and its connection to your model services. Most teams reach their first investigation within minutes of first login. Crogl also runs on premises, in private cloud, and in air-gapped environments. Contact Crogl for those options.

    In production today

    One defense organization runs Crogl against 60,000 alerts per month across 100TB of data, three SIEMs, and two SOARs, at an impact equivalent to six full-time analysts. Crogl is built for the hardest security environments.

    Request Enterprise pricing

    Enterprise is purchased through a private offer on the Crogl - AI for Enterprise Security solution in AWS Marketplace. That solution includes this AMI and Crogl Annual Production Support. Open that listing and select Request private offer, or contact Crogl at sales@crogl.com . Licensing and support terms are specified in your Enterprise agreement. AWS infrastructure and model services are billed separately.

    Highlights

    • Investigates every alert. Documents every action. Crogl pulls host and identity context, queries your EDR, pivots to your data lake, and reads the advisory, writing down every query and result. The analyst reviews the reasoning and makes the call.
    • Works where the data lives. Crogl queries your SIEM, EDR, identity, cloud, and data lake in their native formats, without schema normalization. No pipeline to build. Bring your own model, including one hosted inside an air-gapped boundary.
    • Free is for one user and remains free: all connectors, unlimited skills, and community Slack access to Crogl engineers. Enterprise adds unlimited users, autonomous investigation, SSO, RBAC, and dedicated support. Request pricing on the Crogl solution.

    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

    2.12.1 Crogl 2.12.1 is a patch release for knowledge-graph learning on large Splunk deployments. The Splunk connector gains a lookback setting that bounds every knowledge-graph search to a recent window, and the scan no longer stops at its first index tier when Splunk refuses a bulk listing, no longer deletes sourcetypes when a search peer is slow or down, and no longer drops fields that sampling promoted to entities. The release applies one additive database migration, which the upgrade runs for you; take your usual backup first.

    What is New Limit Splunk Knowledge-Graph Learning to a Lookback Window

    Bug Fixes A knowledge-graph scan that Splunk refuses at the bulk sourcetype listing, for example through an admission rule, now falls back to listing each indexs sourcetypes on its own instead of stopping the scan at the index names. The same fallback applies to Jiras bulk project listing. When Splunk refuses a search, its own message now appears in the error. A Splunk sourcetype listing that finishes incomplete, because a search peer timed out or the search was finalized early, no longer prunes the sourcetypes it left out together with their fields, samples and edges. The scan keeps what it knows and lists that index again on a later run. The root index listing is checked the same way, so a listing that names only the search heads own indexes no longer deletes every other index. A field that sampling promoted to an entity, such as an object-valued column in CrowdStrike alerts, is no longer deleted and rebuilt whenever the next sample happens not to include it. Connectors that discover fields by sampling keep every field they have learned until a complete listing omits it.

    Additional details

    Usage instructions

    Crogl runs on one EC2 instance. At first boot, the instance installs Crogl. The install takes about 5 minutes.

    Launch the instance:

    1. Use a key pair. You need SSH to configure Crogl.
    2. Use a root volume of 100 GB gp3.
    3. Use a security group that admits TCP 22 from your admin IP address.
    4. In the same security group, admit TCP 4043 from the IP ranges of your analysts. The seller settings admit both ports from all addresses (0.0.0.0/0). Change each source to your own IP ranges before you launch.

    Get the admin password:

    1. Connect to the instance as the ubuntu user: ssh -i your-key.pem ubuntu@<public-ip>
    2. Make sure that the install is complete. This command prints "install complete": test -f /var/lib/crogl/installed && echo "install complete"
    3. Read the admin password and the startup key: sudo cat /root/installation-artifacts.txt
    4. Save both values in your password manager. Crogl cannot recover them.

    Make the user interface reachable: At first boot, Crogl accepts connections from the instance only (127.0.0.1). Do one of these two procedures.

    • Direct access, for production. Run this command on the instance: /home/ubuntu/crogl/bin/crogl.sh set-access direct --hostname <your-hostname> If your analysts use an IP address, use --ip <address> instead of --hostname <your-hostname>.
    • SSH tunnel, for evaluation. Run this command on your workstation: ssh -i your-key.pem -L 4043:localhost:4043 ubuntu@<public-ip>

    Sign in:

    1. Open https://<your-hostname>:4043 in your browser. Through the tunnel, open https://localhost:4043 .
    2. Accept the self-signed certificate warning, or install a certificate from your PKI.
    3. Sign in with the username admin and the password from installation-artifacts.txt.
    4. Follow the setup screens. They help you connect a language model and a connector. Have your model API key and connector credentials ready.
    5. Delete the credentials file: sudo shred -u /root/installation-artifacts.txt

    Support

    Vendor support

    Users of Free can get help and support through the Crogl Community. Sign up for the community here: <www.crogl.com/community >

    For Enterprise users, support options are available with the purchase of an enterprise license. Enterprise is purchased through a private offer on the Crogl - AI for Enterprise Security solution in AWS Marketplace. That solution includes this AMI and Crogl Annual Production Support. Open that listing and select Request private offer, or contact Crogl at sales@crogl.com . Licensing and support terms are specified in your Enterprise agreement. AWS infrastructure and model services are billed separately.

    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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