The objective is not to restrict research. It is to build a controlled place where research can continue.
Research organizations run on collaboration: with government partners, with other institutions, with instruments and computing that were never designed for a corporate security model. Some of what they produce and receive is Controlled Unclassified Information (CUI). The program has to protect that without turning the laboratory into an office.
The objective isn't to restrict research. It's to design a controlled environment in which research can continue.
What CUI may look like here.
Examples of information that may constitute CUI when appropriately designated or contractually identified include:
- Research results
- Experimental data
- Prototype designs
- Algorithms and models
- Test results
- Technical reports
- Export-controlled research
- Government-provided datasets
- Emerging technology information
The path a file takes.
- Government Sponsor
- Principal Investigator
- Lab Workstation
- Instrument
- Cloud Compute
- External Collaborator
- Report/Dataset
Where it goes wrong.
Information moves among systems that do not fit the laptop model
Researchers move information among laboratory systems, specialized workstations, instruments, cloud resources, external collaborators, government partners and research facilities. Many of these do not fit the corporate-laptop security model: an instrument controller on an old operating system, a shared analysis server, a compute cluster with its own accounts. Applying office controls to them fails; ignoring them leaves the most sensitive data outside the boundary.
Collaboration is the point, and it crosses every boundary
A project may involve another institution, a government laboratory and an industry partner, each with its own systems and each needing to see some of the data. Sharing happens through whatever tool the collaboration adopted. Without a defined method, the organization cannot say where a controlled dataset has gone or under what terms.
Research computing has its own identity and access world
Clusters, shared servers and cloud research accounts are frequently administered by the researchers who use them, with credentials created for a project and never removed. Access reviews, individual accountability and multifactor authentication (MFA) are harder to demonstrate there than anywhere else in the organization.
Export-controlled and sponsor-provided material mixed with open work
Open research and controlled research live side by side on the same systems and in the same groups. Once mixed, everything inherits the higher handling requirement, and the effort to separate it later is far larger than the effort to keep it apart from the start.
"These controls are going to interfere with our research."
They will, if they are applied as if a laboratory were an office. The objective is not to restrict research. It is to design a controlled environment in which research can continue: a defined set of systems, accounts and sharing methods for the controlled work, sized to what the projects actually need, and left open everywhere the sponsor has not asked for control.
In practice that means naming the projects and datasets that carry an obligation, giving them a place to live that is built for research computing rather than borrowed from the finance department, and treating instruments and legacy analysis systems as specialized assets with compensating protection around them rather than as workstations that failed a scan. Collaboration continues through a channel that records what left and to whom. Researchers keep working; the organization gains the ability to show a sponsor, or an assessor, exactly where its data is.
An environment that holds.
- 01
- A research enclave sized to the controlled projects — A defined environment, on premises or in a cloud built for it, that holds the controlled datasets, models and results and nothing else. Open research stays outside it. The enclave boundary is what the System Security Plan (SSP) describes and what an assessor tests.
- 02
- Instruments and specialized systems as documented, compensated assets — Instrument controllers, shared analysis servers and legacy workstations are inventoried by category and, where a standard control cannot apply, protected by isolation, restricted access and monitoring, with the decision written down. The assessor sees a managed exception, not an unmanaged system.
- 03
- Research computing with managed identity — Individual accounts with MFA on the enclave’s compute and storage, provisioned per project and removed when the project or the person leaves, with an access review on the calendar. Shared project logins go away.
- 04
- A defined collaboration channel — One sanctioned way to share controlled data with external partners, with named recipients, logged transfers and a record of the terms each partner accepted. It replaces the ad hoc file link and it survives the collaboration ending.
- 05
- Evidence collected from the lab, on a schedule — Each control has an owner who can produce its artifact from the research environment, not only from corporate IT. Open items sit on a Plan of Action and Milestones (POA&M) with dates, so the state of the program is known before a Certified Third-Party Assessment Organization (C3PAO) asks.
The order we do it in.
- 01
Discover CUI
- 02
Define Scope
- 03
Identify Gaps
- 04
Design Controls
- 05
Implement
- 06
Collect Evidence
- 07
Prepare for Assessment
- 08
Maintain Compliance
This is the CMMCg Method applied to your environment. Read the Method →
Open these first.
The working documents from the CMMCg Resource Library that fit this kind of organization, in the order to use them.
CUI Identification Worksheet
Worksheet to list the information your organization receives, creates, processes or transmits that may constitute CUI, with origin, access, storage and marking.
Open →CUI Flow Mapping Template
Template to trace each CUI type from receipt through processing, storage, transmission, sharing and disposition, and mark where it leaves your boundary.
Open →CMMC Scoping Worksheet
Worksheet to sort people, systems, endpoints, networks, cloud services, facilities and providers into CMMC asset categories, and defend every exclusion.
Open →CMMC Level 2 Readiness Checklist
High-level readiness review across all 14 NIST SP 800-171 Rev 2 requirement families that CMMC Level 2 assesses, 3 to 5 review prompts per family.
Open →CMMC Evidence Collection Tracker
Evidence register for each practice: expected evidence, source, artifact owner, interview owner, technical validation, collection and validation status, gaps.
Open →
Further along than that? The path continues with the Evidence Collection Tracker, the Gap & POA&M Tracker (a POA&M is a Plan of Action and Milestones) and the Assessment Preparation Checklist.
Does this look like your environment?
The readiness call starts from where your information actually goes, not from a template. An engineer runs it.
- Your CUI boundary sketched on the call
- The requirements costing you the most points, named
- A written summary afterward, yours to keep
NDA signed before anything technical. No cost, no obligation.