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Security Data, Reimagined: Why Pipelines Alone Aren’t Enough

October 22, 2025

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.

When DataBee® launched in 2023, we were one of the only companies talking about the concept of a security data fabric, a unified approach to solving the longstanding problem of fragmented cybersecurity data. At the time, the industry was still grappling with siloed telemetry, bloated SIEM costs, and operational inefficiencies that left security and compliance teams overwhelmed and under-equipped.

Fast forward to today, and the market is getting really interesting.

The Security Data Challenge: Still Real, Still Costly

Security and compliance teams continue to face a fundamental challenge: disparate data sources across endpoints, cloud workloads, identity systems, applications, asset inventories and CMDBs. This fragmentation leads to:

  • Alert Fatigue from noisy, redundant logs
  • Delayed threat detection due to slow data processing
  • Skyrocketing SIEM costs from storing everything just in case
  • Fragmented visibility across the enterprise

The result? Teams are forced to choose between comprehensive coverage and budget constraints, often sacrificing one for the other. And that tradeoff means enterprises remain exposed to threats, risk and compliance gaps far longer than they should.

Market Validation and Bold Moves

Recent acquisitions by SentinelOne® and CrowdStrike signal a major – and welcome – shift in the cybersecurity landscape. These moves validate what DataBee recognized early on: solving security data chaos is not just a technical challenge, it’s a strategic imperative.

SentinelOne Acquires Observo AI

SentinelOne’s acquisition of Observo AI brings real-time, AI-native telemetry pipeline capabilities into its Singularity platform. Observo’s technology ingests, enriches, and routes data before it ever hits a SIEM or data lake, reducing data volume by up to 80%, lowering storage costs, and enabling faster threat detection. It’s a major step toward building an autonomous SOC, where intelligent systems act on enriched data at machine speed.

CrowdStrike Acquires Onum

CrowdStrike’s acquisition of Onum for $290 million supercharges its Falcon Next-Gen SIEM. Onum’s real-time pipeline filters and transforms telemetry in-flight, enabling up to70% faster incidentresponseand50% lower storage costs. This positions CrowdStrike to deliver agentic AI capabilities—autonomous agents that detect and respond to threats using a unified enterprise graph.

Security Data Pipeline The Basics

A security data pipeline is a system designed to ingest, process, and route telemetry data from various sources (like endpoints, cloud services, identity providers, etc.) to destinations such as SIEMs, data lakes, or analytics platforms.

Key functions:

  • Ingestion: Collects data from multiple sources
  • Filtering: Remove noise and irrelevant logs
  • Enrichment: Adds context (e.g., asset tags, user roles)
  • Routing: Sends data to the right tools for analysis or storage

Goal: Improve efficiency and reduce costs by optimizing how data flows through the security stack.

DataBee’s Security DataFabric Platform: A Smart, Unified Approach

DataBee is not just another pipeline; we go beyond pipelines, providing an interpretation layer that connects data to compliance and risk outcomes. The DataBee security data fabric platform not only unifies data, it enriches and operationalizes it across security, compliance, and observability use cases.

Key differentiators

  • End-to-end visibility: Connects data across silos to create a unified view of risk
  • Compliance-ready: Built to support regulatory frameworks with structured, auditable data
  • Flexible architecture: Supports open formats and integrates with existing tools and workflows
  • Real-time enrichment: Adds business context and security intelligence on the fly
  • Multi-use case support: Powers threat detection, compliance reporting, and operational analytics, all from the same data fabric

DataBee’s approach also helps avoid vendor lock-in; we empower customers to bring their own cloud storage (Iceberg compatible) or data lake and we’re neutral in terms of vendor operability. And with more than 300 data source integrations, DataBee has an open and engaged ecosystem of partners across multiple categories, making data onboarding fast and easy.

Goal: Enable organizations todo more with their data, faster, smarter, and with greater control.

DataBee was built from the ground up to support compliance, security and risk use cases, making it more versatile and future-proof than solutions focused primarily on SIEM optimization.

Why DataBee's Vision Still Leads

The recent SentinelOne and CrowdStrike acquisitions of Observo AI and Onum, respectively, shine a spotlight on some truly innovative solutions aimed at solving the security data problem. By investing in real-time telemetry pipelines and AI-native architectures, both companies are helping customers get one step closer to extracting powerful insights from their data, faster, smarter, and with greater precision.

While it’s exciting to see the industry embrace the importance of telemetry pipelines, DataBee remains ahead of the curve. We didn’t just build a pipeline, we built a security data fabric that unifies, enriches, and operationalizes data across the entire security and compliance stack.

The recent market moves are validation, not competition. They confirm what we’ve known all along: security is a data problem, and solving it requires a smarter, more integrated approach. The industry is finally prioritizing the foundational role of data in cybersecurity, and that’s good news for everyone.

DataBee saw the future first—and we’re still building it.

Learn more about the DataBee security data fabric platform or request a custom demo

Security Data, Reimagined: Why Pipelines Alone Aren’t Enough

When DataBee® launched in 2023, we were one of the only companies talking about the concept of a security data fabric, a unified approach to solving the longstanding problem of fragmented cybersecurity data. At the time, the industry was still grappling with siloed telemetry, bloated SIEM costs, and operational inefficiencies that left security and compliance teams overwhelmed and under-equipped.

Fast forward to today, and the market is getting really interesting.

The Security Data Challenge: Still Real, Still Costly

Security and compliance teams continue to face a fundamental challenge: disparate data sources across endpoints, cloud workloads, identity systems, applications, asset inventories and CMDBs. This fragmentation leads to:

  • Alert Fatigue from noisy, redundant logs
  • Delayed threat detection due to slow data processing
  • Skyrocketing SIEM costs from storing everything just in case
  • Fragmented visibility across the enterprise

The result? Teams are forced to choose between comprehensive coverage and budget constraints, often sacrificing one for the other. And that tradeoff means enterprises remain exposed to threats, risk and compliance gaps far longer than they should.

Market Validation and Bold Moves

Recent acquisitions by SentinelOne® and CrowdStrike signal a major – and welcome – shift in the cybersecurity landscape. These moves validate what DataBee recognized early on: solving security data chaos is not just a technical challenge, it’s a strategic imperative.

SentinelOne Acquires Observo AI

SentinelOne’s acquisition of Observo AI brings real-time, AI-native telemetry pipeline capabilities into its Singularity platform. Observo’s technology ingests, enriches, and routes data before it ever hits a SIEM or data lake, reducing data volume by up to 80%, lowering storage costs, and enabling faster threat detection. It’s a major step toward building an autonomous SOC, where intelligent systems act on enriched data at machine speed.

CrowdStrike Acquires Onum

CrowdStrike’s acquisition of Onum for $290 million supercharges its Falcon Next-Gen SIEM. Onum’s real-time pipeline filters and transforms telemetry in-flight, enabling up to70% faster incidentresponseand50% lower storage costs. This positions CrowdStrike to deliver agentic AI capabilities—autonomous agents that detect and respond to threats using a unified enterprise graph.

Security Data Pipeline The Basics

A security data pipeline is a system designed to ingest, process, and route telemetry data from various sources (like endpoints, cloud services, identity providers, etc.) to destinations such as SIEMs, data lakes, or analytics platforms.

Key functions:

  • Ingestion: Collects data from multiple sources
  • Filtering: Remove noise and irrelevant logs
  • Enrichment: Adds context (e.g., asset tags, user roles)
  • Routing: Sends data to the right tools for analysis or storage

Goal: Improve efficiency and reduce costs by optimizing how data flows through the security stack.

DataBee’s Security DataFabric Platform: A Smart, Unified Approach

DataBee is not just another pipeline; we go beyond pipelines, providing an interpretation layer that connects data to compliance and risk outcomes. The DataBee security data fabric platform not only unifies data, it enriches and operationalizes it across security, compliance, and observability use cases.

Key differentiators

  • End-to-end visibility: Connects data across silos to create a unified view of risk
  • Compliance-ready: Built to support regulatory frameworks with structured, auditable data
  • Flexible architecture: Supports open formats and integrates with existing tools and workflows
  • Real-time enrichment: Adds business context and security intelligence on the fly
  • Multi-use case support: Powers threat detection, compliance reporting, and operational analytics, all from the same data fabric

DataBee’s approach also helps avoid vendor lock-in; we empower customers to bring their own cloud storage (Iceberg compatible) or data lake and we’re neutral in terms of vendor operability. And with more than 300 data source integrations, DataBee has an open and engaged ecosystem of partners across multiple categories, making data onboarding fast and easy.

Goal: Enable organizations todo more with their data, faster, smarter, and with greater control.

DataBee was built from the ground up to support compliance, security and risk use cases, making it more versatile and future-proof than solutions focused primarily on SIEM optimization.

Why DataBee's Vision Still Leads

The recent SentinelOne and CrowdStrike acquisitions of Observo AI and Onum, respectively, shine a spotlight on some truly innovative solutions aimed at solving the security data problem. By investing in real-time telemetry pipelines and AI-native architectures, both companies are helping customers get one step closer to extracting powerful insights from their data, faster, smarter, and with greater precision.

While it’s exciting to see the industry embrace the importance of telemetry pipelines, DataBee remains ahead of the curve. We didn’t just build a pipeline, we built a security data fabric that unifies, enriches, and operationalizes data across the entire security and compliance stack.

The recent market moves are validation, not competition. They confirm what we’ve known all along: security is a data problem, and solving it requires a smarter, more integrated approach. The industry is finally prioritizing the foundational role of data in cybersecurity, and that’s good news for everyone.

DataBee saw the future first—and we’re still building it.

Learn more about the DataBee security data fabric platform or request a custom demo

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