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How to Identify CUI Within Your Environment, Set a CUI Boundary for CMMC, and Why Continuous Monitoring Is No Longer Optional

  • Writer: Mike Mitchell
    Mike Mitchell
  • Jan 16
  • 3 min read

Updated: Jan 20

For years, Controlled Unclassified Information (CUI) lived in an uncomfortable gray area. Contractors knew they had it, knew it mattered, but often treated it as a documentation problem rather than a data problem.


That era is over.


Recent updates to DFARS and mandates flowing from the National Defense Authorization Act (NDAA) have turned cui identification into a contractual, auditable requirement. Defense contractors are now expected to know—precisely and continuously—where CUI exists, how it is protected, and whether it ever strays outside authorized boundaries.


If you can’t answer those questions with evidence, your CMMC posture is fragile by definition.


Why it's Difficult to Identify CUI


In theory, identifying CUI sounds straightforward: find the data, label it, protect it.

In reality, most DIB environments look like this:


  • Years of unstructured data spread across file shares, SharePoint, OneDrive, email, and endpoints

  • Legacy documentation mixed with live operational data

  • Engineers, program managers, and subcontractors collaborating across platforms

  • Data copied, exported, backed up, and re-shared outside of original workflows


Manual discovery breaks immediately at this scale. Even disciplined teams fall behind the moment data moves faster than their spreadsheets.


Many organizations attempt to solve this with existing tools, but those approaches introduce their own problems:


Manual Identification


  • Labor-intensive and impossible to keep current

  • Dependent on user judgment and tribal knowledge

  • Produces snapshots, not living evidence


DLP and DSPM Platforms


  • Designed for broad “sensitive data,” not CUI specificity

  • Generate excessive false positives

  • Rarely align cleanly with CMMC scoping expectations


Microsoft Purview


  • Useful for labeling and information protection

  • Heavily dependent on rules, tuning, and ongoing governance

  • Does not inherently provide authoritative, continuous visibility into where CUI truly resides


The result is a dangerous illusion of control. Many organizations believe they understand their CUI footprint—until an assessor, incident, or regulator proves otherwise.


Why This Matters Now More Than Ever


The final DFARS rule implementing CMMC makes certification a contractual requirement, not a policy aspiration. Contracts will increasingly require:


  • Valid CMMC certification tied to specific systems

  • Accurate scoping of environments that store, process, or transmit CUI

  • Ongoing affirmation that cybersecurity controls remain in place


In parallel, the NDAA has reinforced the federal government’s position that CUI exposure is a national security issue, not an administrative oversight. Poor CUI handling is now framed as a supply chain risk with real-world consequences.


That shift changes the risk calculus:


  • If CUI is outside your defined boundary, your scope is wrong

  • If your scope is wrong, your certification is vulnerable

  • If your certification is vulnerable, your contracts are at risk


This is why cui identification is no longer a preliminary step. It is the foundation of defensible compliance.


Setting a Defensible CUI Boundary for CMMC


CMMC scoping depends entirely on knowing where CUI exists. You cannot draw a boundary around data you haven’t accurately identified.


A defensible CUI boundary requires:


  • Environment-wide discovery across structured and unstructured data

  • Clear mapping of CUI locations to systems and repositories

  • Documentation that supports why certain systems are in scope—and why others are not


Without this, organizations either under-scope (creating compliance gaps) or over-scope (driving unnecessary cost and complexity). Both outcomes are common. Neither is sustainable.


Why Continuous Monitoring Is the Missing Piece


Even organizations that successfully identify and scope CUI at a point in time often fail later for one simple reason: data does not stand still.


New files are created. Old files are copied. Teams collaborate in new ways. Systems change.

A one-time discovery exercise cannot support continuous compliance, and DFARS now expects exactly that—ongoing alignment between certification claims and operational reality.


Continuous monitoring ensures:


  • Newly created or moved CUI is identified automatically

  • CUI remains within authorized boundaries

  • Drift is detected before it becomes a finding, incident, or contractual issue


This is where most traditional approaches break down. They were never designed to maintain persistent, auditable visibility into CUI over time.


The Path Forward


The DIB is transitioning from paper compliance to defensible compliance. That shift requires more than policies and attestations. It requires continuous, accurate visibility into CUI itself.


A modern approach to cui identification must:


  • Scan the environment automatically

  • Identify CUI with precision, not guesswork

  • Support accurate CMMC scoping

  • Continuously monitor for change


Solutions like Teramis exist because the problem has outgrown manual processes and generic security tools. When CUI identification becomes automated and continuous, compliance stops being reactive and starts becoming operational.


And in today’s regulatory environment, that difference matters.


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