Information Location

“Information location” sounds simple until you try to prove it under audit. FedRAMP assessments often fail on basics: teams can describe their cloud regions, but cannot show which components store which data types, where transient processing occurs, or how they know the documentation stayed accurate after releases and infrastructure changes. CM-12 fixes that by forcing a documented, component-specific view of where organization-defined information is processed and stored (NIST Special Publication 800-53 Revision 5).

This requirement sits at the intersection of security architecture, asset management, data governance, and change control. The fastest path to operationalizing it is to treat it as an inventory problem with strict traceability: (1) define the information categories you care about, (2) enumerate the components in your FedRAMP system boundary, (3) map information categories to those components with clear “processed vs stored” designations, (4) record the physical/logical location attributes that matter (region, account/subscription, tenant, availability zone where applicable), and (5) build an update loop that triggers whenever architecture or data flows change.

If you use Daydream to manage third-party risk and evidence, this requirement becomes easier to sustain because you can centralize component inventories, attach configuration evidence, and route change-based attestations to system owners without chasing spreadsheets.

Regulatory text

Requirement (CM-12): “Identify and document the location of organization-defined information and the specific system components on which the information is processed and stored.” (NIST Special Publication 800-53 Revision 5)

What the operator must do:
You must produce and maintain documentation that answers two audit-grade questions for the information you define as in-scope:

1. Where is it located? (logical/physical location attributes appropriate to your environment)
2. What components process or store it? (specific systems, services, databases, storage buckets, hosts, containers, managed services, endpoints, and supporting components within your system boundary)

“Identify and document” implies repeatability and currency. A one-time architecture diagram is rarely sufficient unless you can show it reflects the deployed environment and is kept updated through a controlled process (NIST Special Publication 800-53 Revision 5).

Plain-English interpretation (what CM-12 is really asking)

CM-12 is a forced reconciliation between your data classification scope and your real architecture. Auditors want you to demonstrate that:

• You know which data types you handle (your “organization-defined information”).
• You can point to the exact components that touch those data types.
• You can state the location of those components (and therefore the data), in a way that is consistent with your FedRAMP system boundary and your SSP.

The control covers both:

• Storage: databases, object storage, file systems, backups/snapshots, logs, analytics stores.
• Processing: application services, ETL jobs, message queues, serverless functions, CI/CD runners, support tooling that reads production data.

A practical test: if an assessor asks, “Where is customer PII stored, and which components process it?” you should answer with a component list, locations, and evidence, not a narrative.

Who it applies to

Entity types: Cloud Service Providers and Federal Agencies operating FedRAMP Moderate systems (NIST Special Publication 800-53 Revision 5).

Operational context where it matters most:

• CSPs hosting federal information in multi-account/multi-tenant cloud footprints, with managed services and frequent infrastructure-as-code changes.
• Agencies deploying or operating systems where data may traverse shared services, agency networks, endpoint tooling, or logging platforms.

Teams you need engaged (minimum):

• Security/GRC (control ownership, SSP alignment)
• Cloud/platform engineering (component inventory, configuration evidence)
• App engineering (data flows, processing components)
• Data governance/privacy (definition of in-scope information)
• IT ops/SRE (logging, backups, monitoring platforms)
• Change management (to keep the documentation current)

What you actually need to do (step-by-step)

Step 1: Define “organization-defined information” for CM-12

Write down the specific information categories you will track for location. Keep it tight and auditable.

• Start with the information types explicitly relevant to your system (for example: CUI, PII, authentication data, audit logs, encryption keys).
• Assign an information owner per category (a named role is acceptable if stable).

Output: “CM-12 Information Scope” statement and a list of tracked information categories.

Step 2: Establish the system component universe (within the system boundary)

Pull a definitive list of components inside your FedRAMP boundary.

• Use your CMDB or cloud inventory as the source of truth where possible.
• Include managed services and “invisible” components: log pipelines, monitoring agents, key management services, backup services, CI/CD systems that fetch secrets, support/admin tools.

Output: “Boundary component inventory” with unique identifiers (service name, account/subscription, resource IDs).

Step 3: Create a data-to-component mapping (processed vs stored)

For each information category, identify:

• Stored on: the components that persist it at rest (primary + replicas + backups + analytics copies).
• Processed on: the components that read/transform/transmit it (apps, jobs, queues, functions).

Use a table format. Auditors can test completeness quickly.

Example mapping fields (recommended):

• Information category
• Component name + type
• Processing (Y/N) / Storage (Y/N)
• Environment (prod/dev/test)
• Location attributes (cloud region, account/subscription, tenant)
• Encryption at rest/in transit reference (cross-link, don’t restate)
• Owner (system + data)
• Evidence link (config export, diagram, ticket)

Step 4: Document “location” in a way that matches your architecture

“Location” is not one-size-fits-all. Document what is meaningful and provable in your environment:

• Cloud: region(s), account/subscription, tenant, and for certain services, availability zone placement if architecturally fixed.
• Hybrid: data center/site, network segment, virtualization cluster, and storage arrays where applicable.
• SaaS used inside the boundary: tenant instance identifiers and the vendor’s stated data residency terms, plus how you validated configuration.

Rule: If you cannot produce evidence for a location claim, change your documentation to something you can prove (for example, “AWS region us-gov-west-1 per deployed resource configuration evidence”).

Step 5: Tie CM-12 to change management so it stays correct

CM-12 breaks the moment teams ship. Make updates non-optional:

• Add a change control check: “Does this change add/move data storage or processing locations for any tracked information category?”
• Require an update to the CM-12 mapping as a release gate when data flows or storage changes.
• Review exceptions: temporary debugging exports, one-off analytics copies, incident-response snapshots.

Evidence: change tickets, pull request templates, architecture review checklists, and an update log.

Step 6: Validate accuracy with periodic reconciliations

Do a reconciliation between:

• Documented components and cloud inventory exports
• Documented storage locations and actual storage resources
• Log destinations and retention stores (often missed)

Keep the reconciliation lightweight but repeatable. Track findings and remediation.

Step 7: Package for audit (make it easy to test)

Assessors test traceability. Provide:

• A single CM-12 “Information Location Register”
• Supporting diagrams (data flow + boundary)
• Inventory exports and configuration evidence
• A short narrative describing your update triggers and owners

Daydream can help here by keeping the register, evidence attachments, and owner attestations in one place, which reduces last-minute evidence hunts across engineering systems.

Required evidence and artifacts to retain

Maintain these as controlled documents or exportable records:

• Information Location Register (data category → component → processed/stored → location → owner)
• System boundary diagram and data flow diagrams that reflect the register
• Component inventory evidence: CMDB extracts, cloud resource inventory exports
• Configuration evidence for location: screenshots/exports showing region/tenant/account placement for key storage and processing services
• Backup and log destination documentation mapped to information categories
• Change management linkage: ticket templates, review checklists, sample completed changes showing CM-12 updates
• Update history: revision log, approver, date, and reason for change

Common exam/audit questions and hangups

Expect these, and pre-answer them in your artifacts:

• “What is your ‘organization-defined information’ list, and who approved it?” (NIST Special Publication 800-53 Revision 5)
• “Show me where audit logs are stored and which components write to them.”
• “Do non-production environments store production-like data? Where is it located?”
• “Where do backups/snapshots live, and are they in the same region/account?”
• “Which third parties (outside your boundary) process or store any of the tracked information?”
• “How do you keep this current? Show the last change that updated the register.”

Frequent implementation mistakes (and how to avoid them)

1. Only listing regions, not components.
   Fix: start from component inventory, then add location attributes per component.

2. Ignoring “processed” locations.
   Fix: map batch jobs, message queues, serverless functions, and admin tooling that reads data.

3. Forgetting secondary copies.
   Fix: include analytics stores, search indexes, caches with persistence, backups, snapshots, and log archives.

4. Documentation drift after platform changes.
   Fix: make CM-12 updates part of change control, with a named owner and review step.

5. Hand-wavy SaaS location claims.
   Fix: document the tenant, configured data residency settings, and the evidence you can collect.

Risk implications (why auditors care)

Information location is a prerequisite for controlling:

• Data residency and boundary commitments in your SSP
• Incident response scoping (what was affected and where)
• E-discovery and legal holds (what systems contain the records)
• Access control and key management correctness (keys and protected data should align)

If you cannot prove where sensitive information is stored and processed, assessors will question whether you can enforce policy, contain incidents, or meet FedRAMP boundary assertions (NIST Special Publication 800-53 Revision 5).

Practical 30/60/90-day execution plan

First 30 days: Build the register backbone

• Define tracked information categories and owners.
• Export the boundary component inventory and normalize naming.
• Draft the Information Location Register with the top critical data types (authentication data, PII/CUI if applicable, audit logs, encryption keys).
• Identify known gaps: backups, logs, non-production data.

By 60 days: Prove and operationalize

• Attach evidence for each high-risk storage and processing component (region/account/tenant).
• Produce updated data flow and boundary diagrams that align to the register.
• Add CM-12 checks to change management and architecture review.
• Run a reconciliation against cloud inventory exports; track remediation.

By 90 days: Make it durable

• Expand the register to cover remaining data categories and environments.
• Run a table-top audit: have someone outside the project test traceability from data type to component to evidence.
• Formalize a recurring reconciliation cadence and ownership model.
• Centralize artifacts and approvals in a system of record (Daydream or your existing GRC/evidence repository) so updates and evidence stay connected.

Frequently Asked Questions

What counts as “location” in a cloud environment for CM-12?

Document the attributes you can prove from configuration evidence, typically region plus the owning account/subscription and tenant. The goal is repeatable identification of where the information is processed and stored, tied to specific components (NIST Special Publication 800-53 Revision 5).

Do I need to include ephemeral processing like serverless functions or containers?

Yes, if they process the tracked information categories. Even if compute is ephemeral, the component type, platform service, and its deployment location still need to be documented (NIST Special Publication 800-53 Revision 5).

How should we handle logs and monitoring data?

Treat logs as a first-class information category because they often contain sensitive content. Map log sources to log destinations, include retention stores and archives, and document the location and components for both collection and storage.

Do non-production environments fall under CM-12?

If non-production systems are within your FedRAMP boundary or store/process tracked information (including copied production data), include them. If they are out of scope, document the boundary decision and ensure controls prevent in-scope data from flowing there.

What if a third party processes or stores the data outside our system boundary?

Document the data flow and the third party’s role, and ensure your third-party risk process captures the residency and handling expectations. CM-12 still requires clarity on where the information goes and which components touch it (NIST Special Publication 800-53 Revision 5).

How detailed does the component list need to be?

Detailed enough that an assessor can test it against inventories and configurations. “Database layer” is too vague; “RDS PostgreSQL instance X in account Y, region Z” (or your platform equivalent) is testable.