Why a security data fabric?
Your global data strategy needs security data.
The DataBee Hive is the core data fabric platform that transforms and modernizes your security data management and delivers evidence-centric security content. Drive better and smarter decisions with analysis-ready datasets layered with connected business-relevant context.
Challenges when you're drowning in data yet starved for insights
- Questionable insights and decisions
- Niche skills needed for data preparation
- Runaway data and tool costs
- Evolving regulations and threats
Data is abundant but inaccessible and lacks context. When security data is not part of the global data strategy, business decisions are made with incomplete or inaccurate data.
Storytelling with your data first requires your enterprise to have data engineers and scientists – sometimes an army of them – to wrangle and prepare data before deriving significant value.
Balancing the value of data with the high compute and storage costs is becoming economically unsustainable. Single-use tools and poor integration features waste your analysts’ time.
Using spreadsheets for complex controls and compliance reporting is error-prone and fragmented. Finetuning what to keep and for how long makes you miss important artifacts for digital forensics.
How DataBee transforms your data
The DataBee Hive is built with the foundations of a data fabric and designed with real security, risk, and compliance practitioners' use and needs in mind.
The data transformation engine starts with effortless data onboarding across hybrid, multi-cloud, or on-premises environments. Data is normalized to a DataBee-extended version of the Open Cybersecurity Schema Framework (OCSF) to enable multiple users access to insights and reporting.
Throughout the data processing and pipeline, your data remains yours. Both raw and optimized datasets can be stored cost-effectively within your data lake of choice and content is visualized in business intelligence tools your analysts already know and love.
Benefits of deploying a security data fabric at Comcast
- Reduction in SIEM spend and daily data throughput
- Optimized technology stack and tool consolidation
- Cost-effective data storage and performance
- Faster threat detection with extended compute
- Fewer false positives with automated correlation
- Continuous compliance reporting with business context
- Chief Information Security Officer (CISOs)
- Business Information Security Officer (BISOs) and Governance, Risk, and Compliance (GRC) teams
- Chief Information Officer (CIOs)
- Chief Technology Officer (CTOs)
- Chief Data and Analytics Officers (CDOs/CDAOs)
- Executive KPI reporting
- Threat hunting
- Insider risk monitoring
- Multiple SIEM aggregation
- Converged security
- CMDB enrichment
- Empowering AI initiatives
A look inside the Hive
Do you know where you are in your security data journey?
The Comcast Security Data Maturity Model (SDMM) is a conceptual framework that helps security, risk, and compliance teams measure and categorize how well their organization can assess, analyze, and leverage data to help protect and secure the organization’s infrastructure.