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    Cybersecurity Continuous Controls Monitoring

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    Sold by: DataBee 
    Deployed on AWS
    AI-native continuous controls monitoring for cybersecurity and GRC teams to measure control effectiveness, surface gaps, and reduce cyber risk.

    Overview

    DataBee Continuous Controls Monitoring (CCM) helps cybersecurity and GRC teams move from manual, periodic controls testing to continuous, automated measurement of control effectiveness. The AI-native platform connects to operational data, continuously evaluates controls, surfaces gaps, and delivers explainable insights that help teams understand their control posture and address cyber risk faster.

    With DataBee CCM, teams can measure controls against the frameworks and policies that matter to their organization, including their own internal security policies. Self-service, no-code capabilities make it easy to define measurements and build reporting, while centralized workspaces provide continuously updated visibility into control effectiveness and performance without relying on manual data pulls or specialized business intelligence resources.

    DataBee CCM helps organizations turn controls data into action. Teams can investigate gaps, understand how measurements were derived, communicate findings to control owners, and prioritize remediation. The result is a more efficient, transparent approach to continuous controls monitoring, governance, risk and compliance that helps organizations reduce manual effort, improve visibility, and make more informed cyber risk decisions.

    Highlights

    • Continuous, explainable control insight
    • Flexible, self-service controls monitoring
    • Turn control gaps into action

    Details

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    Delivery method

    Deployed on AWS
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    Pricing

    Cybersecurity Continuous Controls Monitoring

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    DataBee Entry CCM
    4 controls/dashbboards w/up to 100 GB daily throughput, no iceberg output, no egress
    $75,000.00

    AI Insights

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    Dimensions summary

    This listing offers one contract option: DataBee Entry CCM. You buy it as a fixed package rather than paying per usage. The package covers 4 controls or dashboards. It supports data throughput of up to 100 GB each day. This entry package does not include iceberg output or data egress. Pricing does not scale with added tiers or sizes here. You commit to the contract term for this single defined configuration. To expand controls or throughput beyond these limits, contact the vendor.

    Top-of-mind questions for buyers

    A control is a real-time check that validates whether a security or compliance control is working, mapped to frameworks like NIST or CIS. A dashboard displays control performance, exceptions, and trends. The Entry package lets you run up to four of these combined items.
    The package processes up to 100 GB of security and compliance data each day. This data feeds normalization, control validation, and dashboards. If your daily data ingest exceeds 100 GB, contact the vendor to expand throughput, since this package does not scale automatically beyond the stated cap.
    Iceberg output refers to writing processed data to an open-table storage format in your own data lake. Egress means transferring data out. This Entry package excludes both, so your control checks and dashboards run within the package without exporting datasets externally. Contact the vendor if you need these capabilities.
    databee.ai+1
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    Usage information

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    Delivery details

    Software as a Service (SaaS)

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    Vendor support

    All customers receive Basic Support and have the option to upgrade to Premium Support.

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