Modernization
Warehouse or lakehouse change
A migration, consolidation, or new analytics layer has changed where sensitive data lives and who can reach it.
DSE data and cybersecurity · National consulting service
Data security consulting for critical data paths.
Data security consulting helps protect the data moving through cloud platforms, warehouses, lakehouses, analytics products, and AI workflows. DSE maps sensitive data and accountable owners, reviews evidence of who can reach it and how keys are controlled, reviews the platforms and pipelines that transform it, and turns the gaps into a sequenced remediation and implementation plan.
This is the bridge between data engineering and core cybersecurity. It is built for teams that need data to remain usable while its access, movement, retention, and control evidence become defensible.
When to bring us in
Your data estate changed. Its controls did not keep up.
AI enablement
New data paths
RAG, agents, model training, or analytics copilots are creating copies, retrieval paths, and service identities nobody has mapped end to end.
Diligence
Customer questions
A buyer, board, insurer, or partner wants evidence about data access, encryption, retention, and control ownership.
Regulated data
Obligations meet architecture
The team needs technical control mapping for personal, financial, health, government, or confidential business data.
Access sprawl
Entitlements drifted
Users, groups, service principals, and platform roles have accumulated without a clear owner or review cadence.
Evidence
Controls are hard to prove
Policies exist, but the team cannot connect them to platform settings, pipeline checks, logs, exceptions, and retained records.
Six workstreams
Follow the data. Assign the control. Keep the evidence.
01 · Discovery
Inventory and flow
Trace sensitive datasets, copies, transfers, transformations, AI retrieval paths, and external destinations.
02 · Accountability
Classification and ownership
Define sensitivity tiers, business and technical owners, approved purposes, and exception authority.
03 · Access
Identity and entitlements
Review human and machine access, inherited grants, standing privilege, segregation, and review cadence.
04 · Cryptography
Encryption and key custody
Review encryption boundaries, key ownership, administration, rotation evidence, and recovery responsibilities.
05 · Engineering
Platform and pipeline controls
Map storage, transformation, quality, release, logging, masking, and data-egress controls to named owners.
06 · Lifecycle
Retention and evidence
Connect retention, deletion, legal holds, exceptions, control logs, and review records to the data lifecycle.
Named deliverables
Artifacts your engineers and risk owners can use together.
Map
Sensitive data inventory and flow map
Systems, datasets, transfers, transformations, destinations, sensitivity, and responsible owners.
Ownership
Data classification and ownership matrix
Shared definitions and decision rights for handling, purpose, approval, and exceptions.
Access
Identity and entitlement review
Observed access paths, excessive grants, service identities, owners, and prioritized corrections.
Keys
Encryption and key-custody review
Encryption boundaries, key custodians, administrative paths, rotation, recovery, and supporting evidence.
Controls
Platform and pipeline control register
Control objective, implementation point, owner, evidence source, gap, and recommended action.
Lifecycle
Retention and evidence plan
Retention and deletion rules, exceptions, records, review cadence, and a sequenced implementation roadmap.
Synthetic example
One data path, with each control made explicit.
Synthetic example, illustrative only. It contains no client information and makes no claim about any organization or platform.
The sample table scrolls horizontally on smaller screens. Keyboard users can focus the labeled table region and use horizontal navigation.
| Data path | Observed condition | Control decision | Evidence |
|---|---|---|---|
| Application to lakehouse bronze zone | Customer identifiers arrive through a managed ingestion role; owner and retention are undocumented. | Assign business and platform owners, tag sensitivity at ingestion, and apply a bounded retention rule. | Catalog record, role policy, pipeline test, retention configuration, review record. |
| Curated table to analytics and AI retrieval | Analysts and a retrieval service share broad read access to fields not required for either use. | Separate human and service entitlements, minimize fields by purpose, and log approved retrieval access. | Entitlement export, approved field set, query logs, quarterly access review. |
Method and proof
Technical controls grounded in public references.
We use the final NIST Privacy Framework 1.0 to organize privacy-risk outcomes and NIST SP 800-53 Rev. 5, including NIST's Release 5.2.0 updates, as a control reference. NIST SP 800-57 Part 1 informs key-management terminology. These are scoped mappings and implementation references, not certifications, equivalence claims, or NIST endorsement.
Public framework proof shows how this method reaches shipped systems without exposing client details:
- Secure multi-tenant LLM platform framework, covering isolation, access, data paths, and operating evidence.
- Federal contract intelligence pipeline framework, covering source-to-serving data flow, quality, governance, and documented handoff.
DSE work is led by a practitioner who has earned CISSP and an advanced Databricks data engineering credential. These are individual qualifications, not organizational certification, assurance, or vendor endorsement.
Common questions
What buyers ask before scoping.
What does data security consulting cover?
It covers sensitive-data inventory and flows, classification and ownership, identity and entitlements, encryption and key custody, platform and pipeline controls, and retention and evidence across cloud, warehouse, lakehouse, analytics, and AI workflows.
How is this different from a general cyber risk assessment?
A general assessment reviews the wider security program. This engagement follows data through the platforms and pipelines that store, transform, analyze, and serve it, then designs controls for those paths. Start with cybersecurity risk assessment when the question is organization-wide.
Can DSE help implement the recommendations?
Yes. Implementation can be scoped separately after the review, with client authorization and a written definition of systems, owners, changes, validation, and handoff. Cloud-wide architecture questions can also route to the cloud security architecture assessment.
Is this a privacy, compliance, or certification engagement?
No. DSE provides technical and operational advisory work, not legal advice, an audit, certification, attestation, or assurance opinion. Counsel, auditors, and certification bodies retain those roles.
What do we receive?
You receive a sensitive data inventory and flow map, classification and ownership matrix, identity and entitlement review, encryption and key-custody review, platform and pipeline control register, retention and evidence plan, and a prioritized implementation roadmap.
Clear boundaries
Data protection engineering advice, not assurance.
This service is not legal advice, not an audit, not a certification, not an attestation, not a SOC or MDR service, and not penetration testing. It does not provide 24x7 monitoring, incident response, a compliance determination, or a guaranteed security outcome. It is distinct from AI security and red teaming, which tests model and application behavior, and from general cyber risk, which assesses the wider security program. Implementation and production changes require separate written scope and authorization.