{"product_id":"data-loss-prevention-architecture","title":"Data Loss Prevention Architecture","description":"\u003ch3\u003eData Protection Framework — Enterprise DLP \u0026amp; Encryption Toolkit\u003c\/h3\u003e\n\u003cp\u003eAfter implementing data protection controls at organizations where a single data exposure incident could trigger OCR investigation, DFARS breach reporting, or SEC disclosure, I built this framework because most data protection programs start with buying a DLP tool and end with it running in monitor-only mode for three years because nobody classified the data it's supposed to protect.\u003c\/p\u003e\n\u003cp\u003eThe fundamental gap: you cannot protect data you haven't classified, you cannot classify data you haven't discovered, and you cannot enforce DLP policies when 40% of your sensitive data lives in SaaS applications your DLP tool doesn't inspect. This framework builds the end-to-end data protection program, not just the technology layer.\u003c\/p\u003e\n\u003ch3\u003eWhat You Get\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Classification Framework\u003c\/strong\u003e — Four-tier classification scheme (Public, Internal, Confidential, Restricted) with handling requirements for each tier. Includes: classification decision trees, automated classification configurations for Microsoft Purview and AWS Macie, labeling policies, and user training materials.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Discovery \u0026amp; Inventory\u003c\/strong\u003e — Scanning configurations for structured data (databases, data warehouses), unstructured data (file shares, SharePoint, OneDrive, S3 buckets), and semi-structured data (emails, chat logs). Includes PII\/PHI\/PCI pattern libraries and custom regex patterns for organization-specific sensitive data.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDLP Policy Templates\u003c\/strong\u003e — 30 pre-built DLP policies covering: SSN\/TIN transmission, credit card number exfiltration, PHI in email, source code in public repositories, CUI marking violations, and bulk data download detection. Policies include tuning parameters and exception handling procedures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEncryption Standards\u003c\/strong\u003e — Implementation guides for: data at rest (AES-256, key management via KMS\/HSM), data in transit (TLS 1.3, certificate management), data in use (confidential computing concepts), and key lifecycle management (generation, rotation, revocation, destruction).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Retention \u0026amp; Disposal\u003c\/strong\u003e — Retention schedule templates for regulatory requirements (HIPAA 6 years, SOX 7 years, PCI DSS 1 year for logs), automated retention policy configurations, and secure disposal procedures (NIST SP 800-88 media sanitization).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eBrownfield Implementation\u003c\/h3\u003e\n\u003cp\u003ePhase 1 (Weeks 1-4): Data discovery scans across all storage locations. Build the data inventory and assign classification levels. Phase 2 (Weeks 5-8): Deploy data classification labeling and train data owners. Phase 3 (Weeks 9-14): Implement DLP policies in monitor mode, tune for false positives, then enable enforcement on high-confidence policies. Phase 4 (Weeks 15-18): Implement encryption gaps, key management improvements, and retention automation.\u003c\/p\u003e\n\u003ch3\u003eScope Limitations\u003c\/h3\u003e\n\u003cp\u003eCovers data protection for structured and unstructured data in enterprise and cloud environments. Does not cover digital rights management (DRM), watermarking, steganography detection, or database activity monitoring at the query level. Assumes Microsoft Purview, AWS Macie, or equivalent DLP tooling is available or planned.\u003c\/p\u003e\n\u003ch3\u003eAudit Evidence\u003c\/h3\u003e\n\u003cp\u003eSatisfies NIST SP 800-53 SC-28 (Protection of Information at Rest), SC-8 (Transmission Confidentiality), MP-6 (Media Sanitization), and AC-4 (Information Flow Enforcement). Generates: data classification inventory, DLP policy efficacy reports (block\/alert counts by classification), encryption validation certificates, key management audit logs, and data retention compliance reports required for HIPAA §164.312(a)(2)(iv), PCI DSS Req 3\/4, SOC 2 C1, and GDPR Article 32 evidence.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eWritten by Kenny Ogunlowo — Detection Engineer, U.S. Secret Clearance holder. Implemented data protection programs at Lockheed Martin and Cigna Healthcare for CUI and ePHI environments.\u003c\/em\u003e\u003c\/p\u003e","brand":"Citadel Cloud Management","offers":[{"title":"Default Title","offer_id":54890410377507,"sku":"CCM-CYB-025","price":55.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0979\/8539\/7027\/files\/citadel-cybersecurity-product_7195a75a-f6a8-40f0-8ceb-4ecf746bf003.jpg?v=1775137965","url":"https:\/\/www.citadelcloudmanagement.com\/products\/data-loss-prevention-architecture","provider":"Citadel Cloud Management","version":"1.0","type":"link"}