This post explains how small businesses can implement a practical data classification and redaction program for public websites to satisfy FAR 52.204-21 basic safeguarding expectations and the CMMC 2.0 Level 1 access-control intent (Control AC.L1-B.1.IV) under the Compliance Framework — focusing on preventing accidental public exposure of Federal Contract Information (FCI) and other sensitive data before content goes live.
Understanding the requirement and objectives
FAR 52.204-21 requires contractors to safeguard covered contractor information systems, and CMMC 2.0 Level 1 calls for basic access controls that prevent unauthorized disclosure of sensitive information. For public websites the practical objective is simple: detect and prevent publication of FCI, PII, or any data that your compliance policy classifies as non-public. The Compliance Framework objective is to ensure controlled handling (identify, label, restrict, redact) so that only appropriate, reviewed content reaches a public audience.
Implementation overview — what to do first
Start with a concise data classification policy tailored to the Compliance Framework: define categories (Public, Internal, FCI, Restricted/PII), owners for each category, and publication rules for each. Next, run a content inventory of your website(s) and CMS. Example for a small business: tag marketing pages as Public, client case studies as Internal/FCI unless redacted, and remove any contract numbers or technical specs that are non-public. Assign a single content owner per page or section who is responsible for classification and final approval.
Automated discovery and pre-publication scanning
Integrate automated scanning into your authoring and CI/CD pipeline. Use a combination of pattern-matching (regex) and data-loss-prevention (DLP) tools: example technical checks include SSN regex (\b\d{3}-\d{2}-\d{4}\b), credit-card patterns, patterns for contract numbers (e.g., [A-Z]{3}-\d{6}), and keyword lists for CUI categories. For files and images use content extraction tools (Apache Tika) and OCR (Tesseract) to scan embedded text. For small businesses, cloud DLP services — AWS Macie for S3 assets, Google Cloud DLP, or an open-source scanner — can be configured to run on upload and block or flag content before it reaches the public bucket or website build.
Redaction techniques and CMS controls
Redaction must be reliable: apply server-side redaction for generated outputs and remove sensitive metadata from files (PDF XMP, Office document properties, image EXIF). For PDFs use a verified redaction library that rewrites content (not just visually hides it); for images that contain text, use OCR to identify sensitive strings and programmatically blur or replace text regions. In your CMS, enforce role-based publishing workflows (author → reviewer → publisher) and use pre-publish hooks that execute your redaction/scanning scripts. Example practical rule: every case study containing customer names or contract IDs must be reviewed and redacted to replace CONTRACT-123456 with CONTRACT-[REDACTED] or hash the last four characters only.
CI/CD, version control, and secrets hygiene
Prevent leaks from your repository and deployment pipeline: block commits that contain classified strings using pre-commit hooks (gitleaks, git-secrets) and enforce scanning in CI (GitHub Actions, GitLab CI) that fails builds if FCI patterns are found. Never bake secrets or environment-specific identifiers into static site generators or templates; instead use runtime configuration and ensure build artifacts are scanned before they are uploaded to public storage (S3, CDN). Also remove staging/test data from public environments and ensure S3 buckets and storage containers are not accidentally public.
Monitoring, logging, and auditability
Maintain logs of scans, redaction actions, and publication approvals. Configure WAF and CDN logging to capture unusual access patterns and maintain an audit trail that links the published page to the reviewer and the redaction artifact. Schedule periodic full-site re-scans (monthly or on each content change) and retain evidence of scans and approvals for compliance reviews. For small businesses, store scan reports and approvals in a secure document repository with role-based access so you can produce them during an audit.
Risks of not implementing classification and redaction
Failing to classify and redact can expose FCI/PII publicly, leading to contract noncompliance, loss of DoD or federal contracts, civil penalties, reputational harm, and increased risk of targeted phishing or social engineering. Technical impacts include data harvesting by bots (indexing contract numbers or emails), accidental API key exposure, and regulatory consequences if PII is leaked. From a Compliance Framework perspective, lack of controls will show up as audit findings for insufficient access restriction and inadequate handling of covered information.
Best practices and quick wins for small businesses
Quick wins: implement pre-publish scans and a 2-person review policy for any content flagged as Internal/FCI; use templates that default to "Public" only for approved fields; automate removal of metadata from uploads; and enforce secret scanning on commits. Best practices: maintain a lightweight classification register, use cloud DLP for storage buckets, apply server-side redaction (not just CSS hiding), document the redaction process, and run tabletop exercises simulating an accidental publication to test response procedures.
Implementing a repeatable, automated classification and redaction workflow that ties into your CMS and CI/CD pipeline is both feasible and essential for meeting FAR 52.204-21 and CMMC 2.0 Level 1 expectations under the Compliance Framework. With clear policies, automated scanning and redaction tools, role-based publishing controls, and regular audits, small businesses can significantly reduce the risk of accidental public disclosure while creating auditable evidence of compliant handling of sensitive content.
