Building a Security Data Fabric Isn’t Your Core Business—And That’s Okay
Free the CISO, a podcast series that attempts to free CISOs from their shackles so they can focus on securing their organization, is produced by CIO.com in partnership with DataBee®, from Comcast Technology Solutions.
In each episode, Robin Das, Executive Director at Comcast under the DataBee team, explores the CISO’s role through the position’s relationship with other security stakeholders, from regulators and the Board of Directors to internal personnel and outside vendors.
By the time security and compliance leaders realize they need a data fabric, they’re usually past the point of small fixes.
They’ve lived through:
- years of tool sprawl
- growing SIEM costs with diminishing returns
- manual correlation that doesn’t scale
- asset inventories no one fully trusts
They know data correlation and context are the real blockers.
They know entity resolution is foundational.
And then comes the pivotal question:
Do we build this ourselves—or do we buy it?
On paper, building sounds reasonable. In practice, it’s the data correlation and entity resolution where most security data fabric initiatives quietly fail.
Most large enterprises already have talented data engineers, security architects, and cloud platforms. Building a security data fabric looks like an extension of work they’re already doing:
- ingest logs
- normalize schemas
- enrich data
- perform correlations
- push data into a lake or SIEM
Many organizations succeed in building early versions—custom pipelines, correlation logic, or stitched dashboards.
The hardest part isn’t building it once—it’s operating it continuously at security scale, year after year.
What a Security Data Fabric Requires
A production-grade security data fabric isn’t a project—it’s a living, operational system.
It must continuously:
- ingest data from changing tools and architectures
- standardize and normalize hundreds of evolving schemas
- correlate identities and assets in near real time
- manage massive data volumes cost-effectively
- preserve full time-series history for investigations and compliance
- adapt as new regulations, threats, and business priorities emerge
DataBee was built specifically to solve this problem, ingesting data from multiple disparate feeds and automatically aggregating, compressing, standardizing, enriching, correlating, and normalizing it before delivering an analysis-ready dataset to the customer’s data lake.
Most internal platforms break under this operational weight.
The Hidden Costs That Derail a Security Data Fabric Build
The real cost of building a data fabric doesn’t appear in the first six months—it compounds over years.
Organizations consistently underestimate:
- the effort required to maintain and evolve ingestion pipelines
- the ongoing burden of schema normalization and change management
- the storage and compute impact of duplicated data
- the analyst effort required when correlation logic drifts over time
- the opportunity cost of pulling scarce engineering talent away from core priorities
Over time, security teams spend more energy maintaining infrastructure than improving risk posture. Innovation slows. Correlation quality plateaus.
Most DIY efforts never fully mature—not because they fail outright, but because sustaining innovation in entity resolution, correlation, and context becomes an ongoing drain the business didn’t plan for.
Managing a security data fabric simply isn’t most organizations’ core business.
Why DataBee Was Built Differently
DataBee exists because Comcast experienced these challenges on an extreme scale.
With petabytes of security data, hundreds of tools, and stringent regulatory obligations, Comcast needed more than incremental optimization—it needed a fundamentally new approach. That internal platform helped inspire DataBee, now commercially available as a cloud-native security and compliance data fabric.
From the outset, DataBee was designed to:
- reduce data silos instead of creating new ones
- decouple security analytics from vendor-locked SIEMs
- support both security operations and compliance mandates
- scale across hybrid and multi-cloud environments
Entity Resolution Is the Make-or-Break Example
Entity Resolution highlights why “build vs. buy” becomes a structural decision, not a technical one.
Resolving users, devices, and applications across:
- CMDBs
- directory services
- vulnerability scanners
- authentication logs
- network telemetry
requires continuous learning as identifiers change and environments evolve.
DataBee’s patent-pending Entity Resolution inspects events for correlatable fields, merges duplicates, assigns unique IDs, and enriches events in real time—maintaining a living entity inventory without manual intervention.
Buy vs. Build Is About Focus
Most enterprises don’t fail at building because they lack skill.
They fail because security data infrastructure is not their core business.
It is DataBee’s.
Born from Comcast’s need to operate securely at massive scale, DataBee exists to continuously improve correlation, resolution, and security data fitness—not as a feature, but as a mission. As part of Comcast, ongoing investment, innovation, and real-world pressure testing are built in.
Customers don’t just get a solution that works today—they get one that evolves tomorrow, because it has to.
That’s the difference between building something once and partnering with a platform whose reason for being is to innovate and stay ahead of the problem.
The value of buying isn’t speed alone.
It’s sustainability.
The Strategic Payoff of Buying a Data Fabric
Organizations that buy rather than build gain:
- faster time to correlated, analysis-ready data
- lower long-term operational and engineering costs
- consistent executive and board-level reporting
- flexibility to change analytics tools without rebuilding pipelines
- confidence that the platform evolves as requirements change
This is exactly why DataBee continues to expand integrations and platform options, including support across Snowflake and Databricks environments.
The architecture remains relevant because keeping it relevant is the business.
Build What Differentiates You—Buy What Sustains You
Security leaders increasingly recognize that competitive advantage doesn’t come from reinventing data plumbing.
It comes from:
- how quickly they can answer risk questions
- how confidently they report compliance
- how effectively they respond to threats
A security data fabric is foundational infrastructure. It needs to work quietly, reliably, and continuously—freeing teams to focus on decisions, not data wrangling.
That’s the logic behind buying instead of building.
And it’s why DataBee exists.
Additional Resources
The Hardest Problem in Cybersecurity Isn’t Detection—It’s Data Correlation
DataBee® | Security Data Fabric For Dummies | Free Guide by DataBee®
DataBee® | How to Create a Security Data Fabric for security Insights
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