Sold by: Celestya
Deployed on AWS
Q-LOG is an innovative awareness platform developed by Celestya Ltd to elevate employee awareness and behavior in the context of cybersecurity and information security.
Overview
Q-LOG is an innovative awareness platform developed by Celestya Ltd to elevate employee awareness and behavior in the context of cybersecurity and information security. The system includes: - Ongoing digital training (theoretical education ,practical simulations ,long-term strategic planning - Risk behavior monitoring - Human SIEM integration,This license version covers up to 1,000 users.
Highlights
- Human SIEM Integration Q-LOG uniquely connects to your organization's SIEM and Active Directory, tracking employee behavior and triggering security actions in real time. It automatically customizes training and enforces policies based on behavior.
- Three Strategic Layers: - Theoretical: eLearning, quizzes, and a content generator to evaluate and teach cybersecurity principles. - Practical: Realistic phishing simulations (email, SMS, web, Wi-Fi). - Strategic: Long-term organizational awareness plans and workshops
- Customization & Scalability: Q-LOG is modular, multili ngual, and can be deployed on-premise or in the cloud. Supports industry.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Debian 11
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $11.00 |
r5d.large | $11.00 |
Dimensions summary
You pay by the hour based on the EC2 instance type you run. Two options are available: t3.large and r5d.large. Both bill per hour, so your cost scales with how long each instance runs. The t3.large and r5d.large options differ in their underlying compute and memory resources, letting you match the instance to your workload needs. There are no upfront commitments. You stop incurring charges when you stop the instance.
Top-of-mind questions for buyers
Both bill per hour, but they use different compute and memory profiles. The t3.large is a general-purpose instance. The r5d.large is memory-focused and includes local NVMe storage. Pick the one matching your workload. You run one instance type at a time and pay only for its running hours.
Software charges meter running time by the hour, so a fully stopped instance stops accruing software costs. You pay only while the instance runs. Note that stopped instances may still incur separate underlying AWS storage fees, which are billed by AWS, not by the software licence.
The platform supports local on-premise installation or cloud hosting, which suits isolated or secure networks. However, the hourly pricing shown here applies to running the software on an AWS EC2 instance. For on-premise licensing terms, contact the vendor.
celestya.net
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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
Updates
Additional details
Usage instructions
Step by step:
- Deploy the AMI Image
- login to set IP Address allocated using a web browser on port 80 to access the login screen.
- Connect using http whit admin user and the instance ID after deployment
- if you need help contact Celestya support.
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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