Introduction

As the digital landscape continues to expand, organizations are adopting an increasing number of security and compliance tools to manage growing risks. While these tools address specific challenges, they also create fragmented data silos, leading to increased complexity and limited visibility across the enterprise. This fragmentation makes it difficult for security, risk, and compliance teams to answer fundamental questions:

• Are our controls operating effectively and working as intended?

• Are our key technical controls helping support our cyber risk and regulatory requirements?

• Do we have a complete, up to date, and accurate view of our technical control posture and risks?

Despite significant investments in analytics and AI/ML, outcomes are often limited by inconsistent, incomplete, and poorly structured data. Teams spend excessive time stitching together information from multiple systems, often lacking the historical context and data quality required to validate controls or support audit and reporting needs. The explosion of data from hybrid environments increases storage and processing costs while making it harder to derive meaningful, actionable insights. As a result, organizations struggle to maintain continuous visibility into their control environment and demonstrate compliance with confidence.

To address these challenges, organizations need a unified approach to collecting, standardizing, and managing security and enterprise data- one that enables continuous evaluation of control effectiveness and supports consistent, reliable reporting. This need led us to build DataBee®.

What is DataBee®

DataBee®, a Comcast Company, is a cloud-native security, risk, and compliance data platform that ingests data from multiple disparate feeds, then aggregates, compresses, standardizes, enriches, correlates, and normalizes before transferring a full time-series dataset to your data storage of choice. This process produces high-quality, structured, and consistent datasets that serve as a reliable foundation for monitoring control effectiveness and supporting compliance initiatives.

By unifying and enriching both security and enterprise data, DataBee provides a complete and accurate view of an organization’s control environment. This enables teams to continuously validate controls, identify gaps, and maintain audit readiness.

DataBee integrates seamlessly with your existing data ecosystem, loading transformed data into your storage platform of choice, such as Snowflake or cloud data lakes built on S3 or ADLS with Iceberg. This unified data layer can then be leveraged to generate meaningful control measurements, dashboards, KPIs, metrics, reports, and executive-level insights.

DataBee Platform

The DataBee platform is designed to separate data ingest, cleaning, transformation, and storage layers from downstream security and compliance analytics, enabling a strong foundation for Continuous Controls Monitoring (CCM). We focus on the beginning of the security data pipeline, making sure you have ALL your data in a clean, usable format before applying analytics. We also provide UI access to enable custom search, controls monitoring, analysis, and ML models. The open architecture allows the ability to supplement DataBee UI, analytics, or AI/ML via a common, unified data source.

DataBee connects to multiple data sources and loads your data from them. Once the data is loaded, DataBee transforms your data through aggregation, compression, standardization, enrichment, correlation, and normalization. After DataBee performs data transformation operations, the data is converted into an organized and structured format that supports continuous evaluation of control effectiveness and cyber risk reporting.

You can now store this highly normalized and enriched data in your data lake, such as Snowflake, or cloud data storage such as AWS S3 or Azure Blob with Iceberg. The DataBee UI allows users to easily configure new data source feeds, search for relevant information, and monitor the health, status, and quality of the data.

DataBee High-Level Architecture

DataBee processes security and IT data in three stages: Ingest, Stream, and Analytics. In the Ingest stage, DataBee connects to your data sources, including security tools, IT systems, identity and HR platforms, business applications, and custom sources, and brings their data into the platform. In the Stream stage, the data passes through four steps. First, the Transform step parses incoming records, maps them to the Open Cybersecurity Schema Framework (OCSF), and validates data quality. Next, the Prepare step performs entity resolution, enriches records with additional context, runs on-stream detections, and produces core data products. The prepared data is then written to the configured datalake in the Store step. Finally, the data is available to the destinations you choose, including SOAR/ITSM tools, BI tools, Microsoft Fabric, Snowflake, Databricks, and AWS. In the Analytics stage, the data supports a range of outcomes. These include actionable data for operations, visualized data for monitoring, indexed data for correlations, normalized data for detections, flattened data for machine learning models, and raw and processed data for forensics and storage.

Use cases solved by DataBee

DataBee can be used to help address many use cases across security, risk, and compliance including but not limited to:

• Continuous Controls Monitoring (CCM)
  Continuously validate control effectiveness across systems and data sources

• Regulatory Compliance and Audit Readiness
  Support frameworks such as PCI-DSS 4.0 with consistent, high-quality data

• Control Gap Identification and Remediation
  Identify deviations from expected control behavior and track remediation efforts

• Data Quality Monitoring
  Ensure completeness, accuracy, and reliability of data used for compliance reporting

• Enterprise Cyber Risk Visibility
  Provide a unified view of security and compliance posture across the organization

• Executive Reporting and KPIs
  Deliver consistent, data-driven insights for leadership and board-level reporting

• Improving Security Hygiene
  Continuously monitor adherence to security policies and best practices