Managed Protection

Data Risk Assessment & DSPM

Clear priorities. Practical protection. A partner accountable for the next step.

Discover sensitive data, analyze access and exposure, and prioritize remediation.

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Defined scope

Coverage, responsibilities, and exclusions documented first.

Existing stack

Designed around current tools and practical constraints.

Review cycle

Activity, findings, and next actions made understandable.

02 / Service overview

Discover sensitive data, analyze access and exposure, and prioritize remediation.

Data risk assessment and DSPM begin with authorized stores, accounts, business owners, data purpose, classification criteria, retention, and access context. Discovery results are not treated as complete until platform coverage and classification limitations are visible.

Findings connect sensitive data to location, owner, exposure, identities, external sharing, configuration, retention, and business dependency. Remediation is prioritized with the data and application owners who can judge whether access, movement, protection, or retention should change.

Expected outcomes

Clear scope and ownership
Improved operational visibility
Practical recommendations and reporting

Core capability

What the scope can include

Data discovery
Classification
Access analysis
Remediation planning

Final inclusions, tooling dependencies, coverage, and response authority are confirmed during scoping.

03 / Operating fit

When Data Risk Assessment & DSPM is the practical next step

The strongest fit is a defined operating gap with clear owners, available inputs, and a decision the service is expected to improve.

Sensitive data is difficult to locate

Cloud stores, databases, collaboration tools, and analytics platforms have grown faster than the inventory and classification process.

Access exceeds current need

Users, groups, service accounts, and external shares retain broad paths to data without clear owners or review evidence.

Remediation needs business context

Security findings must be connected to data purpose, application dependencies, retention obligations, and operational impact before access changes.

04 / Scope design

Make the inputs, outputs, cost drivers, and boundaries visible

These details are confirmed during discovery and written into the proposal so both teams understand what delivery depends on and what remains outside the service.

Prerequisites

Approved data stores and accounts for discovery
Read-only access supported by the selected platform
Data, application, privacy, and business owners
Classification and retention criteria

Typical deliverables

Sensitive-data location and exposure view
Access-path and configuration findings
Risk-ranked remediation plan
Ownership, exception, and follow-up records

Primary cost drivers

Data-store and cloud-account count
Data volume and platform diversity
Classification depth
Remediation validation requirements

Important boundaries

Discovery accuracy depends on platform access and classification rules
Data content is accessed only as authorized
Access removal and deletion require owner approval and change control

Authority and escalation

Data access is limited to the authorized discovery method and purpose
Owners approve access removal, movement, retention, and deletion
Privacy, legal, and business decisions remain with qualified customer stakeholders

Review measures

In-scope stores and accounts with validated discovery coverage
Sensitive-data locations with an accountable owner
Excess access and exposure findings by disposition
Remediation actions completed and revalidated without unresolved business impact

05 / Proposal checks

How to evaluate a Data Risk Assessment & DSPM proposal

A useful proposal should make the operating commitment understandable before signature. Use these checks to compare the written scope with the outcome your team actually needs.

What must be ready before onboarding?

Required inputs: approved data stores and accounts for discovery; read-only access supported by the selected platform; data, application, privacy, and business owners; classification and retention criteria. Assign an owner and readiness check to each dependency.

What evidence should the service produce?

Expected evidence: sensitive-data location and exposure view; access-path and configuration findings; risk-ranked remediation plan; ownership, exception, and follow-up records. Name the recipient, review cadence, and decision supported by each output.

Which assumptions can change the price?

Cost assumptions: data-store and cloud-account count; data volume and platform diversity; classification depth; remediation validation requirements. Separate onboarding, recurring delivery, and approved changes in the proposal.

Where does provider responsibility stop?

Responsibility limits: discovery accuracy depends on platform access and classification rules; data content is accessed only as authorized; access removal and deletion require owner approval and change control. Assign excluded decisions and adjacent work to a named owner or service.

06 / Delivery

A clear delivery process

A repeatable path from defining the need to operating and improving the service.

01
Authorize discovery
Define in-scope accounts and stores, access method, data handling, classification criteria, owners, privacy limits, and excluded content.
02
Map data and access
Identify sensitive-data locations, permissions, identities, external shares, security configuration, ownership, and unsupported coverage.
03
Validate risk
Review findings with data and application owners to connect exposure with purpose, dependency, retention, and realistic misuse or impact.
04
Remediate and verify
Assign access, configuration, protection, retention, ownership, or deletion actions and confirm approved changes without disrupting valid use.

Questions

What buyers usually ask

The final answer depends on your environment and agreed scope. These are useful starting points.

What does a DSPM assessment discover?

Depending on supported access, it can map sensitive-data locations, classifications, owners, identities, permissions, external sharing, configuration, retention, and exposure. The report should also state which stores or data paths were not observable.

Does discovery require reading all of our data?

No universal method applies. Access, sampling, scanning, metadata use, content inspection, retention, and handling are limited to what the selected platform supports and the organization explicitly authorizes.

Who approves data-access remediation?

The relevant data, application, privacy, legal, security, or business owner approves changes according to purpose and impact. The service can prioritize and validate findings but should not remove access or delete data without authority.

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