Security Data Lake

AI Security Lab / Security Data Lake

Create a security data foundation your teams can trust.

We design and integrate security data pipelines for investigation, analytics and retention needs. Our security data lake service focuses on usable schemas, controlled access and reliable movement of telemetry.

Security Data Lake

How the service works.

Security Data Lake — service architectureCloud auditEndpointApplicationValidate schemaRetain securelyPreserve provenanceInvestigation queryUseful schemas, retention and controlled access across the data lifecycleOpen detailed diagram
engineering / security-data-pipelineReady
./security-data-pipeline.sh --phase collect --environment example
Preparing the service process…
Collect sources0%
What we do for you

Security Data Lake services.

Data architecture

Plan sources, schemas, storage tiers and query requirements.

Ingestion pipelines

Build collection, validation, transformation and failure-recovery workflows.

Access and retention

Define permissions, sensitive-field handling, lifecycle policies and ownership.

Investigation enablement

Prepare query patterns, provenance and integrations with security tools.

How we approach the work

Store security data with a purpose.

Storing every event indefinitely can create cost and governance problems without improving investigation. We identify the use cases and retention needs first, then design storage and access accordingly. Pipeline health, schema changes and provenance are included in operational monitoring.

Your engagement

What you receive.

  • Data architecture and source catalog
  • Ingestion and retention design
  • Query guidance and pipeline operations runbooks

How an engagement begins.

We begin with a scoping conversation about your environment, priorities and existing tools. We agree access, responsibilities, milestones and acceptance criteria before delivery. Our team then carries out the assessment, design or implementation work in scope, reviews findings with you and prepares a practical handover.

Your proposal defines the final deliverables, access requirements, service hours, response commitments and ongoing support responsibilities. Work can be phased around your priorities and approved change process.

Before we begin

Common questions.

Can this work alongside our SIEM?

Yes. A security data lake can complement existing analytics and case management. We agree which data goes to each system and how analysts retrieve supporting evidence.

How do you design a security data architecture?

We plan sources, schemas, storage tiers and query requirements. The review records scope, dependencies and the evidence needed before implementation decisions are made.

How do you build reliable ingestion pipelines?

We build collection, validation, transformation and failure-recovery workflows. Findings are reviewed with the responsible team so access, operational impact and ownership are clear.

How are data access and retention requirements managed?

We define permissions, sensitive-field handling, lifecycle policies and ownership. Implementation follows agreed acceptance criteria and approval points, with limitations documented.

How does a data lake support investigation?

We prepare query patterns, provenance and integrations with security tools. Handover includes the responsibilities and review actions needed to keep the work useful over time.

What deliverables are included in security data lake services?

The proposed deliverables include data architecture and source catalog; ingestion and retention design; query guidance and pipeline operations runbooks. The final statement of work defines the format, acceptance criteria and responsibilities for each deliverable.

How is the work tailored to our business?

Storing every event indefinitely can create cost and governance problems without improving investigation. We identify the use cases and retention needs first, then design storage and access accordingly. Pipeline health, schema changes and provenance are included in operational monitoring.

How do we get started with this service?

We first discuss your objective, current environment and operational constraints. The engagement follows collect sources, validate schema, store securely, and query and investigate. Access requirements, milestones and approval points are agreed before delivery.

Can you work with our internal team or current providers?

Yes. We agree a responsibility matrix and communication process so your engineers, security team and service partners know who owns decisions, changes and follow-up actions. Ongoing support is included where specified in the agreed engagement.

What determines the project timeline and cost?

Scope, environment size, access readiness, integration complexity and the level of implementation or ongoing support determine the proposal. We review those factors with you and agree milestones and fees before work begins.

Talk to our team

Let’s plan the right service for your business.

Tell us what you need to assess, build or improve. We’ll help define the scope and a practical next step.